Search

Your search keyword '"Barisoni, Laura"' showing total 487 results
Start Over Author "Barisoni, Laura"
487 results on '"Barisoni, Laura"'

1. CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models

Author

Fan, Fan, Martinez, Georgia, Desilvio, Thomas, Shin, John, Chen, Yijiang, Wang, Bangchen, Ozeki, Takaya, Lafarge, Maxime W., Koelzer, Viktor H., Barisoni, Laura, Madabhushi, Anant, Viswanath, Satish E., and Janowczyk, Andrew

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition
Abstract

Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to negatively impact machine learning (ML) model generalizability. Here we release CohortFinder, an open-source tool aimed at mitigating BEs via data-driven cohort partitioning. We demonstrate CohortFinder improves ML model performance in downstream medical image processing tasks. CohortFinder is freely available for download at cohortfinder.com., Comment: 26 pages, 9 figures, 4 tables. Abstract was accepted by European Society of Digital and Integrative Pathology (ESDIP), Germany, 2022

Published
2023

2. PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling

Author

Walker, Cedric, Talawalla, Tasneem, Toth, Robert, Ambekar, Akhil, Rea, Kien, Chamian, Oswin, Fan, Fan, Berezowska, Sabina, Rottenberg, Sven, Madabhushi, Anant, Maillard, Marie, Barisoni, Laura, Horlings, Hugo Mark, and Janowczyk, Andrew

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Human-Computer Interaction, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The discovery of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images often requires intractable labeling of large quantities of histological objects. Here we release an open-source labeling tool, PatchSorter, which integrates deep learning with an intuitive web interface. Using >100,000 objects, we demonstrate a >7x improvement in labels per second over unaided labeling, with minimal impact on labeling accuracy, thus enabling high-throughput labeling of large datasets., Comment: The submission includes 15 pages, 8 figures, 1 table, and 30 references. It is a new submission

Published
2023

5. Digital staining in optical microscopy using deep learning -- a review

Author

Kreiss, Lucas, Jiang, Shaowei, Li, Xiang, Xu, Shiqi, Zhou, Kevin C., Mühlberg, Alexander, Lee, Kyung Chul, Kim, Kanghyun, Chaware, Amey, Ando, Michael, Barisoni, Laura, Lee, Seung Ah, Zheng, Guoan, Lafata, Kyle, Friedrich, Oliver, and Horstmeyer, Roarke

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning, Physics - Biological Physics
Abstract

Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental research and biotechnology. Despite this role as gold-standard, staining protocols face several challenges, such as a need for extensive, manual processing of samples, substantial time delays, altered tissue homeostasis, limited choice of contrast agents for a given sample, 2D imaging instead of 3D tomography and many more. Label-free optical technologies, on the other hand, do not rely on exogenous and artificial markers, by exploiting intrinsic optical contrast mechanisms, where the specificity is typically less obvious to the human observer. Over the past few years, digital staining has emerged as a promising concept to use modern deep learning for the translation from optical contrast to established biochemical contrast of actual stainings. In this review article, we provide an in-depth analysis of the current state-of-the-art in this field, suggest methods of good practice, identify pitfalls and challenges and postulate promising advances towards potential future implementations and applications., Comment: Review article, 4 main Figures, 3 Tables, 2 supplementary figures

Published
2023
Full Text
View/download PDF

6. Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments.

Author

Farris, Alton, Alexander, Mariam, Balis, Ulysses, Barisoni, Laura, Boor, Peter, Bülow, Roman, Cornell, Lynn, Demetris, Anthony, Farkash, Evan, Hermsen, Meyke, Hogan, Julien, Kain, Renate, Kers, Jesper, Kong, Jun, Levenson, Richard, Loupy, Alexandre, Naesens, Maarten, Sarder, Pinaki, Tomaszewski, John, van der Laak, Jeroen, van Midden, Dominique, Yagi, Yukako, and Solez, Kim

Subjects
Banff, artificial intelligence, digital pathology, image analysis, machine learning, Humans, Artificial Intelligence, Algorithms, Kidney Transplantation, Kidney
Abstract

The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the calls, a variety of artificial intelligence (AI)-based support systems for transplantation pathology were presented. Potential collaborations in a competition/trial on AI applied to kidney transplant specimens, including the DIAGGRAFT challenge (staining of biopsies at multiple institutions, pathologists visual assessment, and development and validation of new and pre-existing Banff scoring algorithms), were also discussed. To determine the next steps, a survey was conducted, primarily focusing on the feasibility of establishing a digital pathology repository and identifying potential hosts. Sixteen of the 35 respondents (46%) had access to a server hosting a digital pathology repository, with 2 respondents that could serve as a potential host at no cost to the DPWG. The 16 digital pathology repositories collected specimens from various organs, with the largest constituent being kidney (n = 12,870 specimens). A DPWG pilot digital pathology repository was established, and there are plans for a competition/trial with the DIAGGRAFT project. Utilizing existing resources and previously established models, the Banff DPWG is establishing new resources for the Banff community.

Published
2023

7. A reference tissue atlas for the human kidney

Author

Hansen, Jens, Sealfon, Rachel, Menon, Rajasree, Eadon, Michael T, Lake, Blue B, Steck, Becky, Anjani, Kavya, Parikh, Samir, Sigdel, Tara K, Zhang, Guanshi, Velickovic, Dusan, Barwinska, Daria, Alexandrov, Theodore, Dobi, Dejan, Rashmi, Priyanka, Otto, Edgar A, Rivera, Miguel, Rose, Michael P, Anderton, Christopher R, Shapiro, John P, Pamreddy, Annapurna, Winfree, Seth, Xiong, Yuguang, He, Yongqun, de Boer, Ian H, Hodgin, Jeffrey B, Barisoni, Laura, Naik, Abhijit S, Sharma, Kumar, Sarwal, Minnie M, Zhang, Kun, Himmelfarb, Jonathan, Rovin, Brad, El-Achkar, Tarek M, Laszik, Zoltan, He, John Cijiang, Dagher, Pierre C, Valerius, M Todd, Jain, Sanjay, Satlin, Lisa M, Troyanskaya, Olga G, Kretzler, Matthias, Iyengar, Ravi, Azeloglu, Evren U, and Project, Kidney Precision Medicine

Subjects
Biotechnology, Genetics, Kidney Disease, Aetiology, 2.1 Biological and endogenous factors, Underpinning research, 1.1 Normal biological development and functioning, Generic health relevance, Renal and urogenital, Good Health and Well Being, Humans, Kidney, Kidney Diseases, Metabolomics, Proteomics, Transcriptome, Kidney Precision Medicine Project
Abstract

Kidney Precision Medicine Project (KPMP) is building a spatially specified human kidney tissue atlas in health and disease with single-cell resolution. Here, we describe the construction of an integrated reference map of cells, pathways, and genes using unaffected regions of nephrectomy tissues and undiseased human biopsies from 56 adult subjects. We use single-cell/nucleus transcriptomics, subsegmental laser microdissection transcriptomics and proteomics, near-single-cell proteomics, 3D and CODEX imaging, and spatial metabolomics to hierarchically identify genes, pathways, and cells. Integrated data from these different technologies coherently identify cell types/subtypes within different nephron segments and the interstitium. These profiles describe cell-level functional organization of the kidney following its physiological functions and link cell subtypes to genes, proteins, metabolites, and pathways. They further show that messenger RNA levels along the nephron are congruent with the subsegmental physiological activity. This reference atlas provides a framework for the classification of kidney disease when multiple molecular mechanisms underlie convergent clinical phenotypes.

Published
2022

8. Unbiased kidney-centric molecular categorization of chronic kidney disease as a step towards precision medicine

Author

Reznichenko, Anna, Nair, Viji, Eddy, Sean, Fermin, Damian, Tomilo, Mark, Slidel, Timothy, Ju, Wenjun, Henry, Ian, Badal, Shawn S., Wesley, Johnna D., Liles, John T., Moosmang, Sven, Williams, Julie M., Quinn, Carol Moreno, Bitzer, Markus, Hodgin, Jeffrey B., Barisoni, Laura, Karihaloo, Anil, Breyer, Matthew D., Duffin, Kevin L., Patel, Uptal D., Magnone, Maria Chiara, Bhat, Ratan, and Kretzler, Matthias

Published
2024
Full Text
View/download PDF

9. A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology.

Author

Lutnick, Brendon, Manthey, David, Becker, Jan U, Ginley, Brandon, Moos, Katharina, Zuckerman, Jonathan E, Rodrigues, Luis, Gallan, Alexander J, Barisoni, Laura, Alpers, Charles E, Wang, Xiaoxin X, Myakala, Komuraiah, Jones, Bryce A, Levi, Moshe, Kopp, Jeffrey B, Yoshida, Teruhiko, Zee, Jarcy, Han, Seung Seok, Jain, Sanjay, Rosenberg, Avi Z, Jen, Kuang Yu, Sarder, Pinaki, and Kidney Precision Medicine Project

Subjects
Kidney Precision Medicine Project, Computational biology and bioinformatics, End-stage renal disease, Networking and Information Technology R&D (NITRD), Kidney Disease
Abstract

BackgroundImage-based machine learning tools hold great promise for clinical applications in pathology research. However, the ideal end-users of these computational tools (e.g., pathologists and biological scientists) often lack the programming experience required for the setup and use of these tools which often rely on the use of command line interfaces.MethodsWe have developed Histo-Cloud, a tool for segmentation of whole slide images (WSIs) that has an easy-to-use graphical user interface. This tool runs a state-of-the-art convolutional neural network (CNN) for segmentation of WSIs in the cloud and allows the extraction of features from segmented regions for further analysis.ResultsBy segmenting glomeruli, interstitial fibrosis and tubular atrophy, and vascular structures from renal and non-renal WSIs, we demonstrate the scalability, best practices for transfer learning, and effects of dataset variability. Finally, we demonstrate an application for animal model research, analyzing glomerular features in three murine models.ConclusionsHisto-Cloud is open source, accessible over the internet, and adaptable for segmentation of any histological structure regardless of stain.

Published
2022

10. The Significance of Hematuria in Podocytopathies

Author

Marchel, Dorota, Trachtman, Howard, Larkina, Maria, Helmuth, Margaret, Lai Yee, Jennifer Y., Fermin, Damian, Bomback, Andrew S., Canetta, Pietro A., Gipson, Debbie S., Mottl, Amy K., Parekh, Rulan S., Saha, Manish K., Sampson, Matthew G., Lafayette, Richard A., Mariani, Laura H., Massengill, S., Lo, L., Dell, K., Sedor, J., Martin, B., Lemley, K., Fajardo, C., Sharma, S., Srivastava, T., Markus, K., Sethna, C., Vento, S., Canetta, P., Pradhan, A., Gbadegesin, R., Olabisi, O., Smith, M., Greenbaum, L., Wang, C.S., Yun, E., Adler, S., LaPage, J., Amarah, A., Itteera, M., Atkinson, M., Williams, M., Fervenza, F., Hogan, M., Lieske, J., Selewski, D., Alston, C., Kaskel, F., Ross, M., Flynn, P., Kopp, J., Malaga-Dieguez, L., Zhdanova, O., Pehrson, L.J., Almaani, S., Roberts, L., Lafayette, R., Dave, S., Lee, I., Pfeffer, Z., Shah, S., Deslandes, A., Reich, H., Hladunewich, M., Ling, P., Romano, M., Brakeman, P, Podoll, A., Rogers, N., McCarthy, E., Landry, E., Fornoni, A., Bidot, C., Kretzler, M., Gipson, D., Williams, A., Stelzer, M., Nachman, P., Rheault, M., Rao, V., Derebail, V., Gibson, K., Froment, A., Ochoa-Toro, F., Holzman, L., Meyers, K., Kallem, K., Swenson, A., Sharma, K., Sambandam, K., Robles, E., Turk, M., Jefferson, A., Hingorani, S., Tuttle, K., Manahan, L., Pao, E., Kuykendall K, K., Lin, J.J., Cody, E., Kretzler, M., Barisoni, L., Gadegbeku, C., Gillespie, B., Gipson, D., Holzman, L., Mariani, L., Sampson, M.G., Sedor, J., Smith, A., Zee, J., Alter, G., Desmond, H., Eddy, S., Fermin, D., Ju, W., Larkina, M., Li, S., Lienczewski, C.C., Mainieri, T., Scherr, R., Troost, J., Williams, A., Wang, Y., Avila-Casado, Carmen, Bagnasco, Serena, Cassol, Clarissa, Bu, Lihong, Caltharp, Shelley, Demeke, Dawit, Gillespie, Brenda, Hassler, Jared, Herlitz, Leal, Hewitt, Stephen, Hodgin, Jeff, Holanda, Danni, Kambham, Neeraja, Lemley, Kevin, Mariani, Laura, Messias, Nidia, Mikhailov, Alexei, Najafian, Behzad, Palmer, Matthew, Rosenberg, Avi, Royal, Virginie, Stokes, Barry, Thomas, David, Yamashita, Michifumi, Yin, Hong, Zee, Jarcy, Zuo, Yiqin, Barisoni, Laura, Nast, Cynthia, Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Bomback, Andrew, Canetta, Pietro, Chan, Brenda, DʼAgati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Jain, Namrata, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nestor, Jordan, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Lugani, Francesca, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Ashoor, Isa, Aviles, Diego, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Gbadegesin, Rasheed, Gomez-Mendez, Liliana, Greenbaum, Larry, Wang, Chia-shi, Yin, Hong (Julie), Cai, Yi, Jens, Goebel, Steinke, Julia, Weaver, Donald, Lane, Jerome, Cramer, Carl, Pan, Cindy, Paloian, Neil, Sreedharan, Rajasree, Selewski, David, Twombley, Katherine, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Smoyer, William, Al-Uzri, Amira, Iragorri, Sandra, Khalid, Myda, Belsha, Craig, Alge, Joseph, Braun, Michael, Gomez, AC, Wenderfer, Scott, Vasylyeva, Tetyana, Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Rheault, Michelle, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Peleg, Yonatan, Wadhwani, Shikha, Almaani, Salem, Ayoub, Isabelle, Nadasdy, Tibor, Samir, Parikh, Rovin, Brad, Chang, Anthony, Fatima, Huma, Julian, Bruce, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Glenn, Dorey, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Muthusamy, Selvaraj, Schelling, Jeffrey, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, Matar, Raed Bou, OʼToole, John, Sedor, John, Sethna, Christine, Vento, Suzanne, Atta, Mohamed, Bagnasco, Serena, Neu, Alicia, Sperati, John, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Brathwaite, Kaye, Reidy, Kimberly, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Kopp, Jeffrey, Waldman, Meryl, Winkler, Cheryl, Tuttle, Katherine, Krissberg, Jill, Lafayette, Richard, Fahmeedah, Kamal, Talley, Elizabeth, Hladunewich, Michelle, Parekh, Rulan, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Gipson, Patrick, Hodgin, Jeffrey, Oliverio, Andrea, Hogan, Jon, Holzman, Lawrence, Palmer, Matthew, Coppock, Gaia, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Roehm, Bethany, Smith, Abigail, Nast, Cynthia, Barisoni, Laura, Gillespie, Brenda, Robinson, Bruce, Kretzler, Matthias, Mariani, Laura, and Guay-Woodford, Lisa M.

Published
2024
Full Text
View/download PDF

11. Association of COVID-19 Versus COVID-19 Vaccination With Kidney Function and Disease Activity in Primary Glomerular Disease: A Report of the Cure Glomerulonephropathy Study

Author

Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Chan, Brenda, D’Agati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Jain, Namrata, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nestor, Jordan, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Lugani, Francesca, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Isa Ashoor, Aviles, Diego, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Gbadegesin, Rasheed, Gomez-Mendez, Liliana, Yin, Hong (Julie), Cai, Yi, Jens, Goebel, Steinke, Julia, Weaver, Donald, Lane, Jerome, Cramer, Carl, Pan, Cindy, Paloian, Neil, Sreedharan, Rajasree, Selewski, David, Twombley, Katherine, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Al-Uzri, Amira, Iragorri, Sandra, Belsha, Craig, Alge, Joseph, Braun, Michael, Gomez, A.C., Wenderfer, Scott, Vasylyeva, Tetyana, Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Peleg, Yonatan, Wadhwani, Shikha, Almaani, Salem, Ayoub, Isabelle, Nadasdy, Tibor, Parikh, Samir, Rovin, Brad, Chang, Anthony, Fatima, Huma, Julian, Bruce, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Muthusamy, Selvaraj, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, O’Toole, John, Sedor, John, Sethna, Christine, Vento, Suzanne, Atta, Mohamed, Bagnasco, Serena, Neu, Alicia, Sperati, John, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Brathwaite, Kaye, Reidy, Kimberly, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Kopp, Jeffrey, Waldman, Meryl, Winkler, Cheryl, Krissberg, Jill, Lafayette, Richard, Fahmeedah, Kamal, Talley, Elizabeth, Hladunewich, Michelle, Parekh, Rulan, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Blazius, Brooke, Hodgin, Jeffrey, Oliverio, Andrea, Hogan, Jon, Palmer, Matthew, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Roehm, Bethany, Graff, John, Gillespie, Brenda, Kretzler, Matthias, Nast, Cynthia, Barisoni, Laura, Guay-Woodford, Lisa M., Wang, Chia-shi, Glenn, Dorey A., Helmuth, Margaret, Smith, Abigail R., Bomback, Andrew S., Canetta, Pietro A., Coppock, Gaia M., Khalid, Myda, Tuttle, Katherine R., Bou-Matar, Raed, Greenbaum, Larry A., Robinson, Bruce M., Holzman, Lawrence B., Smoyer, William E., Rheault, Michelle N., Gipson, Debbie, and Mariani, Laura H.

Published
2024
Full Text
View/download PDF

12. Rationale and design of the Kidney Precision Medicine Project

Author

de Boer, Ian H, Alpers, Charles E, Azeloglu, Evren U, Balis, Ulysses GJ, Barasch, Jonathan M, Barisoni, Laura, Blank, Kristina N, Bomback, Andrew S, Brown, Keith, Dagher, Pierre C, Dighe, Ashveena L, Eadon, Michael T, El-Achkar, Tarek M, Gaut, Joseph P, Hacohen, Nir, He, Yongqun, Hodgin, Jeffrey B, Jain, Sanjay, Kellum, John A, Kiryluk, Krzysztof, Knight, Richard, Laszik, Zoltan G, Lienczewski, Chrysta, Mariani, Laura H, McClelland, Robyn L, Menez, Steven, Moledina, Dennis G, Mooney, Sean D, O’Toole, John F, Palevsky, Paul M, Parikh, Chirag R, Poggio, Emilio D, Rosas, Sylvia E, Rosengart, Matthew R, Sarwal, Minnie M, Schaub, Jennifer A, Sedor, John R, Sharma, Kumar, Steck, Becky, Toto, Robert D, Troyanskaya, Olga G, Tuttle, Katherine R, Vazquez, Miguel A, Waikar, Sushrut S, Williams, Kayleen, Wilson, Francis Perry, Zhang, Kun, Iyengar, Ravi, Kretzler, Matthias, Himmelfarb, Jonathan, Project, Kidney Precision Medicine, Lecker, Stewart, Stillman, Isaac, Waikar, Sushrut, Mcmahon, Gearoid, Weins, Astrid, Short, Samuel, Hoover, Paul, Aulisio, Mark, Cooperman, Leslie, Herlitz, Leal, O’Toole, John, Poggio, Emilio, Sedor, John, Jolly, Stacey, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Bomback, Andrew, Canetta, Pietro A, d’Agati, Vivette D, Kudose, Satoru, Mehl, Karla, Radhakrishnan, Jai, Weng, Chenhua, Alexandrov, Theodore, Ashkar, Tarek, Barwinska, Daria, Dagher, Pierre, Dunn, Kenneth, Eadon, Michael, Ferkowicz, Michael, Kelly, Katherine, Sutton, Timothy, Winfree, Seth, Parikh, Chirag, Rosenberg, Avi, Villalobos, Pam, Malik, Rubab, Fine, Derek, Atta, Mohammed, Trujillo, Jose Manuel Monroy, Slack, Alison, Rosas, Sylvia, and Williams, Mark

Subjects
Clinical Research, Transplantation, Kidney Disease, Prevention, Renal and urogenital, Good Health and Well Being, Acute Kidney Injury, Adult, Humans, Kidney, Precision Medicine, Prospective Studies, Proteomics, Renal Insufficiency, Chronic, acute kidney injury, chronic kidney disease, diabetes, hypertension, precision medicine, Kidney Precision Medicine Project, Clinical Sciences, Urology & Nephrology
Abstract

Chronic kidney disease (CKD) and acute kidney injury (AKI) are common, heterogeneous, and morbid diseases. Mechanistic characterization of CKD and AKI in patients may facilitate a precision-medicine approach to prevention, diagnosis, and treatment. The Kidney Precision Medicine Project aims to ethically and safely obtain kidney biopsies from participants with CKD or AKI, create a reference kidney atlas, and characterize disease subgroups to stratify patients based on molecular features of disease, clinical characteristics, and associated outcomes. An additional aim is to identify critical cells, pathways, and targets for novel therapies and preventive strategies. This project is a multicenter prospective cohort study of adults with CKD or AKI who undergo a protocol kidney biopsy for research purposes. This investigation focuses on kidney diseases that are most prevalent and therefore substantially burden the public health, including CKD attributed to diabetes or hypertension and AKI attributed to ischemic and toxic injuries. Reference kidney tissues (for example, living-donor kidney biopsies) will also be evaluated. Traditional and digital pathology will be combined with transcriptomic, proteomic, and metabolomic analysis of the kidney tissue as well as deep clinical phenotyping for supervised and unsupervised subgroup analysis and systems biology analysis. Participants will be followed prospectively for 10 years to ascertain clinical outcomes. Cell types, locations, and functions will be characterized in health and disease in an open, searchable, online kidney tissue atlas. All data from the Kidney Precision Medicine Project will be made readily available for broad use by scientists, clinicians, and patients.

Published
2021

13. Molecular Signatures of Glomerular Neovascularization in a Patient with Diabetic Kidney Disease

Author

Ferkowicz, Michael J., Verma, Ashish, Barwinska, Daria, Melo Ferreira, Ricardo, Henderson, Joel M., Kirkpatrick, Mary, Silva, Paolo S., Steenkamp, Devin W., Phillips, Carrie L., Waikar, Sushrut S., Sutton, Timothy A., Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Stillman, Isaac, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Weins, Astrid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, Varela, German, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Barisoni, Laura, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Brown, Keith, Campbell, Taneisha, Fox, Monica, Hayashi, Lynda, Jefferson, Nichole, Richard Knight, Jennifer Jones, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Stutzke, Christy, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Wong, Aaron, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Lutnick, Brendon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell, Eunice, Gaba, Ron, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown, Dorisann, Berge, Jerica, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Roy-Chaudhury, Prabir, Zeitler, Evan, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, and Asra

Published
2024
Full Text
View/download PDF

14. Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project

Author

Ong, Edison, Wang, Lucy L, Schaub, Jennifer, O’Toole, John F, Steck, Becky, Rosenberg, Avi Z, Dowd, Frederick, Hansen, Jens, Barisoni, Laura, Jain, Sanjay, de Boer, Ian H, Valerius, M Todd, Waikar, Sushrut S, Park, Christopher, Crawford, Dana C, Alexandrov, Theodore, Anderton, Christopher R, Stoeckert, Christian, Weng, Chunhua, Diehl, Alexander D, Mungall, Christopher J, Haendel, Melissa, Robinson, Peter N, Himmelfarb, Jonathan, Iyengar, Ravi, Kretzler, Matthias, Mooney, Sean, and He, Yongqun

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Kidney Disease, Networking and Information Technology R&D (NITRD), Generic health relevance, Renal and urogenital, Good Health and Well Being, Atlases as Topic, Big Data, Biological Ontologies, Humans, Kidney Diseases, Phenotype, Precision Medicine, Kidney Precision Medicine Project, Urology & Nephrology, Clinical sciences
Abstract

An important need exists to better understand and stratify kidney disease according to its underlying pathophysiology in order to develop more precise and effective therapeutic agents. National collaborative efforts such as the Kidney Precision Medicine Project are working towards this goal through the collection and integration of large, disparate clinical, biological and imaging data from patients with kidney disease. Ontologies are powerful tools that facilitate these efforts by enabling researchers to organize and make sense of different data elements and the relationships between them. Ontologies are critical to support the types of big data analysis necessary for kidney precision medicine, where heterogeneous clinical, imaging and biopsy data from diverse sources must be combined to define a patient's phenotype. The development of two new ontologies - the Kidney Tissue Atlas Ontology and the Ontology of Precision Medicine and Investigation - will support the creation of the Kidney Tissue Atlas, which aims to provide a comprehensive molecular, cellular and anatomical map of the kidney. These ontologies will improve the annotation of kidney-relevant data, and eventually lead to new definitions of kidney disease in support of precision medicine.

Published
2020

15. Banff Digital Pathology Working Group: Going digital in transplant pathology.

Author

Farris, Alton, Moghe, Ishita, Wu, Simon, Hogan, Julien, Cornell, Lynn, Alexander, Mariam, Kers, Jesper, Demetris, Anthony, Levenson, Richard, Tomaszewski, John, Barisoni, Laura, Yagi, Yukako, and Solez, Kim

Subjects
basic (laboratory) research/science, biopsy, classification systems: Banff classification, clinical research/practice, informatics, organ transplantation in general, pathology/histopathology, rejection, Artificial Intelligence, Biopsy, Graft Rejection, Humans, Kidney Diseases, Kidney Transplantation, Pennsylvania
Abstract

The Banff Digital Pathology Working Group (DPWG) was formed in the time leading up to and during the joint American Society for Histocompatibility and Immunogenetics/Banff Meeting, September 23-27, 2019, held in Pittsburgh, Pennsylvania. At the meeting, the 14th Banff Conference, presentations directly and peripherally related to the topic of digital pathology were presented; and discussions before, during, and after the meeting have resulted in a list of issues to address for the DPWG. Included are practice standardization, integrative approaches for study classification, scoring of histologic parameters (eg, interstitial fibrosis and tubular atrophy and inflammation), algorithm classification, and precision diagnosis (eg, molecular pathways and therapeutics). Since the meeting, a survey with international participation of mostly pathologists (81%) was conducted, showing that whole slide imaging is available at the majority of centers (71%) but that artificial intelligence (AI)/machine learning was only used in ≈12% of centers, with a wide variety of programs/algorithms employed. Digitalization is not just an end in itself. It also is a necessary precondition for AI and other approaches. Discussions at the meeting and the survey highlight the unmet need for a Banff DPWG and point the way toward future contributions that can be made.

Published
2020

16. Racial and Ethnic Disparities in Acute Care Utilization Among Patients With Glomerular Disease

Author

Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Bomback, Andrew, Brown, Eric, Canetta, Pietro, Carlassara, Lucrezia, Chan, Brenda, D’Agati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Ashoor, Isa, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Silva, Cynthia, Gomez-Mendez, Liliana, Wang, Chia-shi, Yin, Hong (Julie), Jens, Goebel, Steinke, Julia, Cramer, Carl, Pan, Cindy, Sreedharan, Rajasree, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Smoyer, William, Al-Uzri, Amira, Belsha, Craig, Braun, Michael, Gomez, A.C., Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Rheault, Michelle, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Wadhwani, Shikha, Ayoub, Isabelle, Nadasdy, Tibor, Parikh, Samir, Rovin, Brad, Chang, Anthony, Fatima, Huma, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Massey, Hugh, Muthusamy, Selvaraj, Ganesan, Santhi, Gonzalez-Vicente, Agustin, Schelling, Jeffrey, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, Matar, Raed Bou, O’Toole, John, Sedor, John, Bagnasco, Serena, Neu, Alicia, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Vento, Suzanne, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Waldman, Meryl, Winkler, Cheryl, Hladunewich, Michelle, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Gipson, Patrick, Hodgin, Jeffrey, Oliverio, Andrew, Hogan, Jon, Holzman, Lawrence, Palmer, Matthew, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Robinson, Bruce, Nast, Cynthia, Barisoni, Laura, Gillespie, Brenda, Gipson, Deb, Hicken, Maggie, Kretzler, Matthias, Mariani, Laura, Guay-Woodford, Lisa M., Krissberg, Jill R., O’Shaughnessy, Michelle M., Smith, Abigail R., Helmuth, Margaret E., Almaani, Salem, Aviles, Diego H., Brathwaite, Kaye E., Cai, Yi, Gbadegesin, Rasheed, Glenn, Dorey A., Greenbaum, Larry A., Iragorri, Sandra, Khalid, Myda, Kopp, Jeffrey, Lafayette, Richard, Lane, Jerome C., Lugani, Francesca, Nestor, Jordan G., Parekh, Rulan S., Reidy, Kimberly, Selewski, David T., Sethna, Christine B., Sperati, C. John, Tuttle, Katherine, Twombley, Katherine, Vasylyeva, Tetyana L., Weaver, Donald J., Jr., and Wenderfer, Scott E.

Published
2023
Full Text
View/download PDF

17. Precision nephrology identified tumor necrosis factor activation variability in minimal change disease and focal segmental glomerulosclerosis

Author

Mariani, Laura H., Eddy, Sean, AlAkwaa, Fadhl M., McCown, Phillip J., Harder, Jennifer L., Nair, Viji, Eichinger, Felix, Martini, Sebastian, Ademola, Adebowale D., Boima, Vincent, Reich, Heather N., El Saghir, Jamal, Godfrey, Bradley, Ju, Wenjun, Tanner, Emily C., Vega-Warner, Virginia, Wys, Noel L., Adler, Sharon G., Appel, Gerald B., Athavale, Ambarish, Atkinson, Meredith A., Bagnasco, Serena M., Barisoni, Laura, Brown, Elizabeth, Cattran, Daniel C., Coppock, Gaia M., Dell, Katherine M., Derebail, Vimal K., Fervenza, Fernando C., Fornoni, Alessia, Gadegbeku, Crystal A., Gibson, Keisha L., Greenbaum, Laurence A., Hingorani, Sangeeta R., Hladunewich, Michelle A., Hodgin, Jeffrey B., Hogan, Marie C., Holzman, Lawrence B., Jefferson, J. Ashley, Kaskel, Frederick J., Kopp, Jeffrey B., Lafayette, Richard A., Lemley, Kevin V., Lieske, John C., Lin, Jen-Jar, Menon, Rajarasee, Meyers, Kevin E., Nachman, Patrick H., Nast, Cynthia C., O’Shaughnessy, Michelle M., Otto, Edgar A., Reidy, Kimberly J., Sambandam, Kamalanathan K., Sedor, John R., Sethna, Christine B., Singer, Pamela, Srivastava, Tarak, Tran, Cheryl L., Tuttle, Katherine R., Vento, Suzanne M., Wang, Chia-shi, Ojo, Akinlolu O., Adu, Dwomoa, Gipson, Debbie S., Trachtman, Howard, and Kretzler, Matthias

Published
2023
Full Text
View/download PDF

22. Migalastat improves diarrhea in patients with Fabry disease: clinical-biomarker correlations from the phase 3 FACETS trial

Author

Schiffmann, Raphael, Bichet, Daniel G, Jovanovic, Ana, Hughes, Derralynn A, Giugliani, Roberto, Feldt-Rasmussen, Ulla, Shankar, Suma P, Barisoni, Laura, Colvin, Robert B, Jennette, J Charles, Holdbrook, Fred, Mulberg, Andrew, Castelli, Jeffrey P, Skuban, Nina, Barth, Jay A, and Nicholls, Kathleen

Subjects
Rare Diseases, Neurodegenerative, Clinical Research, Brain Disorders, Digestive Diseases, Clinical Trials and Supportive Activities, Emerging Infectious Diseases, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, 1-Deoxynojirimycin, Adolescent, Adult, Aged, Biomarkers, Diarrhea, Fabry Disease, Female, Humans, Kidney, Male, Middle Aged, Mutation, Trihexosylceramides, Young Adult, Amenable mutation, Fabry disease, GSRS, Gastrointestinal, Globotriaosylceramide, Lyso-Gb3, Migalastat, Pharmacological chaperone, Other Medical and Health Sciences, Genetics & Heredity
Abstract

BackgroundFabry disease is frequently characterized by gastrointestinal symptoms, including diarrhea. Migalastat is an orally-administered small molecule approved to treat the symptoms of Fabry disease in patients with amenable mutations.MethodsWe evaluated minimal clinically important differences (MCID) in diarrhea based on the corresponding domain of the patient-reported Gastrointestinal Symptom Rating Scale (GSRS) in patients with Fabry disease and amenable mutations (N = 50) treated with migalastat 150 mg every other day or placebo during the phase 3 FACETS trial (NCT00925301).ResultsAfter 6 months, significantly more patients receiving migalastat versus placebo experienced improvement in diarrhea based on a MCID of 0.33 (43% vs 11%; p = .02), including the subset with baseline diarrhea (71% vs 20%; p = .02). A decline in kidney peritubular capillary globotriaosylceramide inclusions correlated with diarrhea improvement; patients with a reduction > 0.1 were 5.6 times more likely to have an improvement in diarrhea than those without (p = .031).ConclusionsMigalastat was associated with a clinically meaningful improvement in diarrhea in patients with Fabry disease and amenable mutations. Reductions in kidney globotriaosylceramide may be a useful surrogate endpoint to predict clinical benefit with migalastat in patients with Fabry disease.Trial registrationNCT00925301 ; June 19, 2009.

Published
2018

23. A glomerular transcriptomic landscape of apolipoprotein L1 in Black patients with focal segmental glomerulosclerosis

Author

Dell, K., Sedor, J., Schachere, M., Negrey, J., Lemley, K., Silesky, B., Srivastava, T., Garrett, A., Sethna, C., Laurent, K., Canetta, P., Pradhan, A., Greenbaum, L., Wang, C., Kang, C., Adler, S., LaPage, J., Athavale, A., Itteera, M., Atkinson, M., Dell, T., Fervenza, F., Hogan, M., Lieske, J., Chernitskiy, V., Kaskel, F., Ross, M., Flynn, P., Kopp, J., Blake, J., Trachtman, H., Zhdanova, O., Modersitzki, F., Vento, S., Lafayette, R., Mehta, K., Gadegbeku, C., Quinn-Boyle, S., Hladunewich, M., Reich, H., Ling, P., Romano, M., Fornoni, A., Bidot, C., Kretzler, M., Gipson, D., Williams, A., Klida, C., Derebail, V., Gibson, K., Cole, E., Ormond-Foster, J., Holzman, L., Meyers, K., Kallem, K., Swenson, A., Sambandam, K., Wang, Z., Rogers, M., Jefferson, A., Hingorani, S., Tuttle, K., Bray, M., Pao, E., Cooper, A., Lin, J.J., Baker, Stefanie, Barisoni, L., Bixler, J., Desmond, H., Eddy, S., Fermin, D., Gillespie, B., Kurtz, V., Larkina, M., Li, S., Lienczewski, C.C., Liu, J., Mainieri, T., Mariani, L., Sampson, M., Smith, A., Zee, J., Avila-Casado, Carmen, Bagnasco, Serena, Gaut, Joseph, Hewitt, Stephen, Hodgin, Jeff, Lemley, Kevin, Mariani, Laura, Palmer, Matthew, Rosenberg, Avi, Royal, Virginie, Thomas, David, Zee, Jarcy, Barisoni, Laura, Nast, Cynthia, McNulty, Michelle T., Fermin, Damian, Eichinger, Felix, Jang, Dongkeun, Kretzler, Matthias, Burtt, Noël P., Pollak, Martin R., Flannick, Jason, Weins, Astrid, Friedman, David J., and Sampson, Matthew G.

Published
2022
Full Text
View/download PDF

24. Computational staining of CD3/CD20 positive lymphocytes in human tissues with experimental confirmation in a genetically engineered mouse model.

Author

Li, Xiang, Heirman, Casey C., Rickard, Ashlyn G., Sotolongo, Gina, Castillo, Rico, Adanlawo, Temitayo, Everitt, Jeffery I., Hodgin, Jeffery B., Watts, Tammara L., Janowczyk, Andrew, Mowery, Yvonne M., Barisoni, Laura, and Lafata, Kyle J.

Abstract

Introduction: Immune dysregulation plays a major role in cancer progression. The quantification of lymphocytic spatial inflammation may enable spatial system biology, improve understanding of therapeutic resistance, and contribute to prognostic imaging biomarkers. Methods: In this paper, we propose a knowledge-guided deep learning framework to measure the lymphocytic spatial architecture on human H&E tissue, where the fidelity of training labels is maximized through single-cell resolution image registration of H&E to IHC. We demonstrate that such an approach enables pixel-perfect ground-truth labeling of lymphocytes on H&E as measured by IHC. We then experimentally validate our technique in a genetically engineered, immune-compromised Rag2 mouse model, where Rag2 knockout mice lacking mature lymphocytes are used as a negative experimental control. Such experimental validation moves beyond the classical statistical testing of deep learning models and demonstrates feasibility of more rigorous validation strategies that integrate computational science and basic science. Results: Using our developed approach, we automatically annotated more than 111,000 human nuclei (45,611 CD3/CD20 positive lymphocytes) on H&E images to develop our model, which achieved an AUC of 0.78 and 0.71 on internal hold-out testing data and external testing on an independent dataset, respectively. As a measure of the global spatial architecture of the lymphocytic microenvironment, the average structural similarity between predicted lymphocytic density maps and ground truth lymphocytic density maps was 0.86 ± 0.06 on testing data. On experimental mouse model validation, we measured a lymphocytic density of 96.5 ± %1% in a Rag2+/- control mouse, compared to an average of 16.2 ± %5% in Rag2-/- immune knockout mice (p<0.0001, ANOVA-test). Discussion: These results demonstrate that CD3/CD20 positive lymphocytes can be accurately detected and characterized on H&E by deep learning and generalized across species. Collectively, these data suggest that our understanding of complex biological systems may benefit from computationally-derived spatial analysis, as well as integration of computational science and basic science. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

27. APOL1 genotype-associated morphologic changes among patients with focal segmental glomerulosclerosis

Author

Zee, Jarcy, McNulty, Michelle T., Hodgin, Jeffrey B., Zhdanova, Olga, Hingorani, Sangeeta, Jefferson, Jonathan Ashley, Gibson, Keisha L., Trachtman, Howard, Fornoni, Alessia, Dell, Katherine M., Reich, Heather N., Bagnasco, Serena, Greenbaum, Larry A., Lafayette, Richard A., Gipson, Debbie S., Brown, Elizabeth, Kretzler, Matthias, Appel, Gerald, Sambandam, Kamalanathan K., Tuttle, Katherine R., Chen, Dhruti, Atkinson, Meredith A., Hogan, Marie C., Kaskel, Frederick J., Meyers, Kevin E., O’Toole, John, Srivastava, Tarak, Sethna, Christine B., Hladunewich, Michelle A., Lin, JJ, Nast, Cynthia C., Derebail, Vimal K., Patel, Jiten, Vento, Suzanne, Holzman, Lawrence B., Athavale, Ambarish M., Adler, Sharon G., Lemley, Kevin V., Lieske, John C., Hogan, Jonathan J., Gadegbeku, Crystal A., Fervenza, Fernando C., Wang, Chia-Shi, Matar, Raed Bou, Singer, Pamela, Kopp, Jeffrey B., Barisoni, Laura, and Sampson, Matthew G.

Published
2021
Full Text
View/download PDF

29. Improving data quality in observational research studies: Report of the Cure Glomerulonephropathy (CureGN) network

Author

Gillespie, Brenda W., Laurin, Louis-Philippe, Zinsser, Dawn, Lafayette, Richard, Marasa, Maddalena, Wenderfer, Scott E., Vento, Suzanne, Poulton, Caroline, Barisoni, Laura, Zee, Jarcy, Helmuth, Margaret, Lugani, Francesca, Kamel, Margret, Hill-Callahan, Peg, Hewitt, Stephen M., Mariani, Laura H., Smoyer, William E., Greenbaum, Larry A., Gipson, Debbie S., Robinson, Bruce M., Gharavi, Ali G., Guay-Woodford, Lisa M., and Trachtman, Howard

Published
2021
Full Text
View/download PDF

30. Protein N-Glycans in Healthy and Sclerotic Glomeruli in Diabetic Kidney Disease

Author

Veličković, Dušan, Shapiro, John P., Parikh, Samir V., Rovin, Brad, Toto, Robert D., Vazquez, Miguel A., Poggio, Emilio D., O'Toole, John F., Sedor, John R., Alexandrov, Theodore, Jain, Sanjay, Bitzer, Markus, Hodgin, Jeffrey, Veličković, Marija, Sharma, Kumar, Anderton, Christopher R., Adeyi, Oyedele A., Alakwaa, Fadhl, Alexandrov, Theodore, Allen, Jamie L., Alpers, Charles E., Alvear, Alison Bunio, Ambekar, Akhil, Ancheta, Joed, Anderton, Christopher R., Angus, Sophia A., Anjani, Kavya, Appelbaum, Paul S., Ardayfio, Joseph, Arora, Tanima, Ascani, Heather K., Asghari, Mahla, El-Achkar, Tarek M., Athar, Humra, Atta, Mohamed G., Aulisio, Mark P., Aw, Stephanie J., Azeloglu, Evren U., Bagne, Cathy A., Balderes, Olivia, Balis, Ulysses G.J., Barasch, Jonathan, Barisoni, Laura, Barwinska, Daria, Basta, Jeannine, Bebiak, Jack, Beck, Laurence H., Berge, Jerica M., Berglund, Ashley C., Bernard, Lauren, Berry, Brooke, Beyda, David H., Bhanushali, Jini Ashok, Bitzer, Markus, Bjornstad, Petter, Blanc, Victoria M., Blank, Kristina N., Bledsoe, Sharon B., Bogen, Steve, Bomback, Andrew S., Bonevich, Nikole, Border, Samuel, Börner, Katy, Bowen, William S., Boys, Charlotte, Bracamonte, Erika R., Bream, Peter R., Brosius, Frank C., Brown, Keith D., Budiman, Tifanny, Bueckle, Andreas, Bui, J.T., James, T., Burg, Ashley R., Burgess, Adam, Bush, Lakeshia, Bush, William S., Cai, Qi, Calixte, Marie Florence, Cameron-Wheeler, Tashas, Campbell, Kirk N, Campbell, Taneisha, Campbell, Catherine, Campos, Baltazar, Canetta, Pietro A., Cantley, Lloyd G, Caramori, M. Luiza, Carmona-Powell, Eunice, Carson, Jonas M, Chan, Lili, Chen, Sarah W, Chen, Yijiang, Cheng, Ying-Hua, Bejarano, Maria Chilo, Choe, Kisurb, Cimino, James G., Coca, Steven G., Coleman, Alyson, Colley, Madeline E., Collie, Mary M., Colona, Mia R., Commander, Clayton W., Conlon, Kristine, Conser, Ninive, Cooperman, Leslie, Corona-Villalobos, Celia P., Crawford, Dana C., Creger, Nathan, Cuevas-Rios, Yarieli, D'Agati, Vivette ., Dagher, Pierre c., de Boer, Ian H., de Caestecker, M.P, de Cos, Marina, Gonçalves, Joana P., Dekker, Matthew, Demeke, Dawit, Dighe, Ashveena L, Ding, Yanli, Djambazova, Katerina V., Donohoe, Isabel, Dowd, Frederick, Drawz, P.E., Dufresne, Martin, Dull, Rachel, Dunn, Kenneth W., Duran, Daniel Damian, Eadon, Michael T, Eddy, Sean, Elder, Michele M, Fallegger, Robin, Farrow, Melissa A, Ferkowicz, Michael, Fine, Derek M., Flanagan, Siobhan M., Fogo, Agnes B., Fox, Monica L., Frey, Renee, Froment, Anne, Gaba, Ron C., Gadegbeku, Crystal A, Gaut, Joseph P., Gehlenborg, Nils, Geraghty, Molly C, Ghag, Reetika, Gilliam, Matthew, Ginley, Brandon, Gisch, Debora, Gordon, Ronald E., Gorman, Brittney L., Greka, Anna, Grewenow, Stephanie M., Gurung, Bhupendra Kumar, Guthrie, Leah, Hacohen, Nir, Haddad, Samuel, Hall, Daniel E., Hansen, Jens, Harindhanavudhi, Tasma, Hartman, John, Hayashi, Lynda, Haydak, Jonathan, He, John Cijiang, He, Yongqun, Hedayati, S. Susan, Henderson, Dori, Henderson, Joel M, Hendricks, Allen R, Henshaw, Asari, Herlitz, Leal, Hernandez, Jeanine, Herr, Bruce W., Himmelfarb, Jonathan, Hodgin, Jeffrey B., Hoofnagle, Andrew N, Horowitz, Carol R., Hsieh, E.W.Y., Huynh, Courtney, Iyengar, Ravi, Jain, Sanjay, Janowczyk, Andrew, Jeffers, Vivian, Jefferson, Nichole M., Jennette, J Charles, Johansen, Camille, Jolly, Stacey, Jones, Christopher J., Jones, Jennifer L., Jones, Kiasha, Joyeux, Cienn N., Ju, Wenjun, Judd, Audra M., Kakade, Vijayakumar R, Kakarla, Dhatri, Kaspari, Rachel R., Kaushal, Madhurima, Keefe, Nicole, Keller, Mark S., Kelley, Sara S., Kellum, John A., Kelly, K. J., Kelly, Tanika N., Kermani, Asra, Kiryluk, Krzysztof, Klett, Susan, Knight, Richard A., Knoten, Amanda, Koch, Gina, Koewler, Robert, Kretzler, Matthias, Kruse, Angela R.S., Küchenhoff, Leonie, Lake, Blue B., Lardenoije, Roy, Larson, Astrid, Larson, Brandon G, Lash, James P., Laszik, Zoltan G., Lecker, Stewart H., Lee, Simon C., Lee, Sora, Lefferts, Sean, Li, Xiang, Lienczewski, Chrysta C, Limonte, Christine P, Lucarelli, Nicholas, Lukowski, Jessica, Lutnick, Brendon, Ma, Shihong, Ma, Sisi, Madabhushi, Anant, Maikhor, Shana, Mao, Weiguang, Mariani, Laura H., Markovic, Marina, Marquez, Nicole, Marshall, Jamie L., McAdams, Meredith C, McClelland, Robyn L., McCown, Phillip J., McMahon, Gearoid Michael, McMurray, Amy, Mehl, Karla, Meliambro, Kristin, Ferreira, Ricardo Melo, Mendoza, Katherine, Menez, Steven, Menon, Rajasree, Meza, Natalie, Migas, Lukasz G., Miller, R. Tyler, Mimar, Sayat, Minor, Brittany C, Mody, Priya, Moeckel, Gilbert W., Moledina, D.G., Molina-Guzman, Jenny, Monroy-Trujillo, Jose M, Morales, Alexander, Moreno, Vanessa, Mottl, Amy K., Mukatash, Tariq, Munar, Dane, Murugan, Raghavan, Nachman, Patrick H., Nadkarni, Girish N, Naglah, Ahmed, Nair, Viji, Nam, Yunbi, Narasimhan, R., Nwanne, Gerald, O'Malley, Charles, O'Toole, John F., Toro, Fernanda Ochoa, Oliver, George (Holt), Onul, Ingrid F, Otto, Edgar A., Palevsky, Paul M., Palmer, Ellen, Pamreddy, Annapurna, Parikh, Chirag R., Parikh, Samir V, Park, Christopher, Park, Harold, Paša-Tolić, Ljiljana, Patel, Jiten, Patel, Marissa, Patlis, Boris S., Paul, Anindya S., Phuong, Jimmy, Pillai, Anil, Pinkeney, Roy, Plisiewicz, Alexa, Poggio, Emilio D, Pollack, Ari, Prasad, Pottumarthi V, Pyle, Laura, Quardokus, Ellen M., Quiroga, Arabela, Ragi, Nagarjunachary, Randhawa, Parmjeet, Randle, Teresa, Rao, Via, Rauchman, Michael, Rauwolf, Nicolas J, Reamy, Rebecca, Record, Elizabeth G., Redmond, Devona, Rennke, Helmut, Renteria, Amada, Rezaei, Kasra A, Rhodes, Rosamond, Ricardo, Ana C., Rice, Samuel, Rivera, Marcelino, Roberts, Glenda V., Rosas, R., Sylvia, E., Rose, Michael P., Rosen, Seymour, Rosenberg, Avi Z., Rosenberg, Michael S., Rosengart, Matthew R., Rovin, Brad H., Roy, Neil, Roy-Chaudhury, Prabir, Rubinsky, Melissa D., Sabo, Angela R., Saez-Rodriguez, Julio, Safadi, Sami, Samari, Imane H., Sanora, Ana Celina, Sarder, Pinaki, Sarkisova, Natalya, Sarwal, Minnie M, Saul, John, Saunders, Milda R., Schaub, Jennifer A., Schmidt, IM, Scott, Raymond, Scroggins, Aaron, Sealfon, Rachel S. G., Sedor, John R., Sendrey, Dianna, Setty, Suman, Shah, Sonya, Shariff, Saad Mohammed, Sharma, Kumar, Shaw, Melissa M., Sigdel, Tara K, Silva, Paolo S., Snyder, Jaime, Snyder, Michelle L., Spates-Harden, Kassandra, Sperati, C. John, Spraggins, Jeffrey M., Srivastava, Anand, Stashevsky, Jennifer, Steck, Becky, Stillman, Isaac E, Stutzke, Christy, Subramanian, Lalita, Sun, Jennifer K., Rajan, Sandhya Sundar, Sutton, Timothy A., Taliercio, Jonathan J, Tan, Roderick, Tanevski, Jovan, Thajudeen, Bijin, Thurman, Joshua M., Tokita, Joji, Torrealba, Jose R., Toto, Robert D, Tout, Haneen, Troyanskaya, Olga G, Tsosie, Rebecca, Turner, Jeffrey M, Tuttle, Katherine R., Ugwuowo, Ugochukwu, Upadhyay, Ashish, Valerius, M. Todd, Van de Plas, Raf, Varela, German, Vazquez, Miguel A., Velickovic, Dusan, Venkatachalam, Manjeri, Verdoes, Abraham, Verma, Ashish, Victoria-Castro, Angela M., Vijayan, Anitha, Villalobos, Alexander, Viloria, Noralinda B., Vinovskis, Carissa, Vita, Tina, Waikar, Sushrut S., Wang, Ashley R., Wang, Bangchen, Wang, Nancy, Wang, Ruikang, Wangperawong, Artit, Ward, Stephen C, Warfield, Curtis, Weins, Astrid, Wen, Natasha, Wen, Yumeng, Wilcox, Adam, Williams, James C., Williams, Kayleen, Williams, Mark E., Wilson, F. Perry, Winfree, Seth, Winters, James, Wofford, Stephanie, Wolf, Susan M., Wong, Aaron, Woodhead, Gregory, Wright, Devin M., Wright, Zach, Wright, Zoe, Wrobel, Julia, Xing, Fuyong, Xu, Alan, Yadati, Pranav, Ye, Hongping, Young, Bessie A., Yu, Guanghao, Mon-Wei Yu, Samuel, Zeinoun, Gabriel, Zeitler, Evan M., Zhang, Bo, Zhang, Guanshi, and Zhang, Yi

Published
2024
Full Text
View/download PDF

31. Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains

Author

Sedor, J., Dell, K., Schachere, M., Negrey, J., Lemley, K., Lim, E., Srivastava, T., Garrett, A., Sethna, C., Laurent, K., Appel, G., Toledo, M., Barisoni, L., Greenbaum, L., Wang, C., Kang, C., Adler, S., Nast, C., LaPage, J., Stroger, John H., Jr., Athavale, A., Itteera, M., Neu, A., Boynton, S., Fervenza, F., Hogan, M., Lieske, J., Chernitskiy, V., Kaskel, F., Kumar, N., Flynn, P., Kopp, J., Blake, J., Trachtman, H., Zhdanova, O., Modersitzki, F., Vento, S., Lafayette, R., Mehta, K., Gadegbeku, C., Johnstone, D., Quinn-Boyle, S., Cattran, D., Hladunewich, M., Reich, H., Ling, P., Romano, M., Fornoni, A., Bidot, C., Kretzler, M., Gipson, D., Williams, A., LaVigne, J., Derebail, V., Gibson, K., Froment, A., Grubbs, S., Holzman, L., Meyers, K., Kallem, K., Lalli, J., Sambandam, K., Wang, Z., Rogers, M., Jefferson, A., Hingorani, S., Tuttle, K., Bray, M., Kelton, M., Cooper, A., Freedman, B., Lin, J.J., Jayapandian, Catherine P., Chen, Yijiang, Janowczyk, Andrew R., Palmer, Matthew B., Cassol, Clarissa A., Sekulic, Miroslav, Hodgin, Jeffrey B., Zee, Jarcy, Hewitt, Stephen M., O’Toole, John, Toro, Paula, Sedor, John R., Barisoni, Laura, and Madabhushi, Anant

Published
2021
Full Text
View/download PDF

32. Rationale and design of the Nephrotic Syndrome Study Network (NEPTUNE) Match in glomerular diseases: designing the right trial for the right patient, today

Author

Trachtman, Howard, primary, Desmond, Hailey, additional, Williams, Amanda L., additional, Mariani, Laura H., additional, Eddy, Sean, additional, Ju, Wenjun, additional, Barisoni, Laura, additional, Ascani, Heather K., additional, Uhlmann, Wendy R., additional, Spino, Cathie, additional, Holzman, Lawrence B., additional, Sedor, John R., additional, Gadegbeku, Crystal, additional, Subramanian, Lalita, additional, Lienczewski, Chrysta C., additional, Manieri, Tina, additional, Roberts, Scott J., additional, Gipson, Debbie S., additional, Kretzler, Matthias, additional, Massengill, Susan, additional, Lo, Layla, additional, Dell, Katherine, additional, O’Toole, John, additional, Sedor, John, additional, Martin, Blair, additional, Macumber, Ian, additional, Sharma, Silpa, additional, Srivastava, Tarak, additional, Markus, Kelsey, additional, Sethna, Christine, additional, Vento, Suzanne, additional, Canetta, Pietro, additional, Olabisi, Opeyemi, additional, Gbadegesin, Rasheed, additional, Smith, Maurice, additional, Greenbaum, Laurence, additional, Wang, Chia-shi, additional, Yun, Emily, additional, Adler, Sharon, additional, LaPage, Janine, additional, Amarah, Amatur, additional, Itteera, Mathew, additional, Atkinson, Meredith, additional, Williams, Miahje, additional, Lieske, John, additional, Hogan, Marie, additional, Fervenza, Fernando, additional, Selewski, David, additional, Alston, Cheryl, additional, Reidy, Kim, additional, Ross, Michael, additional, Kaskel, Frederick, additional, Flynn, Patricia, additional, Malaga-Dieguez, Laura, additional, Zhdanova, Olga, additional, Pehrson, Laura Jane, additional, Miranda, Melanie, additional, Almaani, Salem, additional, Roberts, Laci, additional, Lafayette, Richard, additional, Dave, Shiktij, additional, Lee, Iris, additional, Shah, Shweta, additional, Batla, Sadaf, additional, Reich, Heather, additional, Hladunewich, Michelle, additional, Ling, Paul, additional, Romano, Martin, additional, Brakeman, Paul, additional, Dylewski, James, additional, Rogers, Nathan, additional, McCarthy, Ellen, additional, Creed, Catherine, additional, Fornoni, Alessia, additional, Bandes, Miguel, additional, Mariani, Laura, additional, Modi, Zubin, additional, Williams, A., additional, Ni, Roxy, additional, Nachman, Patrick, additional, Rheault, Michelle, additional, Kowalski, Amy, additional, Rauwolf, Nicolas, additional, Derebail, Vimal, additional, Gibson, Keisha, additional, Froment, Anne, additional, Kelley, Sara, additional, Holzman, Lawrence, additional, Meyers, Kevin, additional, Kallem, Krishna, additional, Edwards, Aliya, additional, Sharma, Samin, additional, Roehm, Elizabeth, additional, Sambandam, Kamalanathan, additional, Brown, Elizabeth, additional, Hellewege, Jamie, additional, Jefferson, Ashley, additional, Hingorani, Sangeeta, additional, Tuttle, Katherine, additional, Manahan, Linda, additional, Pao, Emily, additional, Kuykendall, Kelli, additional, Lin, Jen Jar, additional, Dharnidharka, Vikas, additional, Gillespie, Brenda, additional, Salmon, Eloise, additional, Trachtman, Howard, additional, Mainieri, Tina, additional, Alter, Gabrielle, additional, Arbit, Michael, additional, Fermin, Damian, additional, Larkina, Maria, additional, Lienczewski, Chrysta, additional, Scherr, Rebecca, additional, Troost, Jonathan, additional, Williams, Amanda, additional, Zhai, Yan, additional, Kincaid, Colleen, additional, Li, Shengqian, additional, Li, Shannon, additional, Sampson, Matthew G., additional, Smith, Abigail, additional, Zee, Jarcy, additional, Avila-Casado, Carmen, additional, Bagnasco, Serena, additional, Bu, Lihong, additional, Caltharp, Shelley, additional, Cassol, Clarissa, additional, Demeke, Dawit, additional, Hassler, Jared, additional, Herlitz, Leal, additional, Hewitt, Stephen, additional, Hodgin, Jeff, additional, Holanda, Danni, additional, Kambham, Neeraja, additional, Lemley, Kevin, additional, Messias, Nidia, additional, Mikhailov, Alexei, additional, Moreno, Vanessa, additional, Najafian, Behzad, additional, Palmer, Matthew, additional, Rosenberg, Avi, additional, Royal, Virginie, additional, Sekulik, Miroslav, additional, Stokes, Barry, additional, Thomas, David, additional, Wu, Ming, additional, Yamashita, Michifumi, additional, Yin, Hong, additional, Zuo . Cochairs, Yiqin, additional, and Nast, Cynthia, additional

Published
2024
Full Text
View/download PDF

33. Compounds targeting OSBPL7 increase ABCA1-dependent cholesterol efflux preserving kidney function in two models of kidney disease

Author

Wright, Matthew B., Varona Santos, Javier, Kemmer, Christian, Maugeais, Cyrille, Carralot, Jean-Philippe, Roever, Stephan, Molina, Judith, Ducasa, G. Michelle, Mitrofanova, Alla, Sloan, Alexis, Ahmad, Anis, Pedigo, Christopher, Ge, Mengyuan, Pressly, Jeffrey, Barisoni, Laura, Mendez, Armando, Sgrignani, Jacopo, Cavalli, Andrea, Merscher, Sandra, Prunotto, Marco, and Fornoni, Alessia

Published
2021
Full Text
View/download PDF

35. Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments

Author

Farris, Alton B., primary, Alexander, Mariam P., additional, Balis, Ulysses G. J., additional, Barisoni, Laura, additional, Boor, Peter, additional, Bülow, Roman D., additional, Cornell, Lynn D., additional, Demetris, Anthony J., additional, Farkash, Evan, additional, Hermsen, Meyke, additional, Hogan, Julien, additional, Kain, Renate, additional, Kers, Jesper, additional, Kong, Jun, additional, Levenson, Richard M., additional, Loupy, Alexandre, additional, Naesens, Maarten, additional, Sarder, Pinaki, additional, Tomaszewski, John E., additional, van der Laak, Jeroen, additional, van Midden, Dominique, additional, Yagi, Yukako, additional, and Solez, Kim, additional

Published
2023
Full Text
View/download PDF

36. Digital staining in optical microscopy using deep learning - a review

Author

Kreiss, Lucas, primary, Jiang, Shaowei, additional, Li, Xiang, additional, Xu, Shiqi, additional, Zhou, Kevin C., additional, Lee, Kyung Chul, additional, Mühlberg, Alexander, additional, Kim, Kanghyun, additional, Chaware, Amey, additional, Ando, Michael, additional, Barisoni, Laura, additional, Lee, Seung Ah, additional, Zheng, Guoan, additional, Lafata, Kyle J., additional, Friedrich, Oliver, additional, and Horstmeyer, Roarke, additional

Published
2023
Full Text
View/download PDF

37. Relationships among Non-Neoplastic Histopathological Features, Kidney Function, Proteinuria, and Other Clinical Factors in Patients Undergoing Nephrectomy

Author

Aponte Becerra, Laura, primary, Salcedo Betancourt, Juan D., additional, Elfassy, Tali, additional, Iakymenko, Oleksii, additional, Thomas, David B., additional, Isaac, Farid, additional, Fornoni, Alessia, additional, Zuo, Yiqin, additional, Barisoni, Laura, additional, Contreras, Gabriel, additional, and Munoz Mendoza, Jair, additional

Published
2023
Full Text
View/download PDF

38. Efficacy of the pharmacologic chaperone migalastat in a subset of male patients with the classic phenotype of Fabry disease and migalastat-amenable variants: data from the phase 3 randomized, multicenter, double-blind clinical trial and extension study

Author

Germain, Dominique P., Nicholls, Kathy, Giugliani, Roberto, Bichet, Daniel G., Hughes, Derralynn A., Barisoni, Laura M., Colvin, Robert B., Jennette, J. Charles, Skuban, Nina, Castelli, Jeffrey P., Benjamin, Elfrida, Barth, Jay A., and Viereck, Christopher

Published
2019
Full Text
View/download PDF

39. Association of COVID-19 Versus COVID-19 Vaccination With Kidney Function and Disease Activity in Primary Glomerular Disease: A Report of the Cure Glomerulonephropathy Study

Author

Wang, Chia-shi, primary, Glenn, Dorey A., additional, Helmuth, Margaret, additional, Smith, Abigail R., additional, Bomback, Andrew S., additional, Canetta, Pietro A., additional, Coppock, Gaia M., additional, Khalid, Myda, additional, Tuttle, Katherine R., additional, Bou-Matar, Raed, additional, Greenbaum, Larry A., additional, Robinson, Bruce M., additional, Holzman, Lawrence B., additional, Smoyer, William E., additional, Rheault, Michelle N., additional, Gipson, Debbie, additional, Mariani, Laura H., additional, Ahn, Wooin, additional, Appel, Gerald, additional, Appelbaum, Paul, additional, Babayev, Revekka, additional, Chan, Brenda, additional, D'Agati, Vivette Denise, additional, Dogra, Samitri, additional, Fernandez, Hilda, additional, Gharavi, Ali, additional, Hines, William, additional, Husain, Syed Ali, additional, Jain, Namrata, additional, Kiryluk, Krzysztof, additional, Lin, Fangming, additional, Marasa, Maddalena, additional, Markowitz, Glen, additional, Rasouly, Hila Milo, additional, Mohan, Sumit, additional, Mongera, Nicola, additional, Nestor, Jordan, additional, Nickolas, Thomas, additional, Radhakrishnan, Jai, additional, Rao, Maya, additional, Sanna-Cherchi, Simone, additional, Shirazian, Shayan, additional, Stokes, Michael Barry, additional, Uy, Natalie, additional, Valeri, Anthony, additional, Vena, Natalie, additional, Foroncewicz, Bartosz, additional, Moszczuk, Barbara, additional, Mucha, Krzysztof, additional, Perkowska-Ptasińska, Agnieszka, additional, Ghiggeri, Gian Marco, additional, Lugani, Francesca, additional, Ambruzs, Josephine, additional, Liapis, Helen, additional, Baracco, Rossana, additional, Jain, Amrish, additional, Ashoor, Isa, additional, Aviles, Diego, additional, Srivastava, Tarak, additional, Ahn, Sun-Young, additional, Devarajan, Prasad, additional, Erkan, Elif, additional, Claes, Donna, additional, Stone, Hillarey, additional, Mason, Sherene, additional, Gbadegesin, Rasheed, additional, Gomez-Mendez, Liliana, additional, Yin, Hong (Julie), additional, Cai, Yi, additional, Jens, Goebel, additional, Steinke, Julia, additional, Weaver, Donald, additional, Lane, Jerome, additional, Cramer, Carl, additional, Pan, Cindy, additional, Paloian, Neil, additional, Sreedharan, Rajasree, additional, Selewski, David, additional, Twombley, Katherine, additional, Bowers, Corinna, additional, Dreher, Mary, additional, Kallash, Mahmoud, additional, Mahan, John, additional, Sharpe, Samantha, additional, Al-Uzri, Amira, additional, Iragorri, Sandra, additional, Belsha, Craig, additional, Alge, Joseph, additional, Braun, Michael, additional, Gomez, A.C., additional, Wenderfer, Scott, additional, Vasylyeva, Tetyana, additional, Feig, Daniel, additional, Fuentes, Gabriel Cara, additional, Hannah, Melisha, additional, Nester, Carla, additional, Chishti, Aftab, additional, Klein, Jon, additional, Katsoufis, Chryso, additional, Seeherunvong, Wacharee, additional, Wong, Craig, additional, Mathews, Nisha, additional, Barcia, John, additional, Swiatecka-Urban, Agnes, additional, Bartosh, Sharon, additional, Hunley, Tracy, additional, Dharnidharka, Vikas, additional, Gaut, Joseph, additional, Laurin, Louis-Philippe, additional, Royal, Virginie, additional, Achanti, Anand, additional, Budisavljevic, Milos, additional, Self, Sally, additional, Ghossein, Cybele, additional, Peleg, Yonatan, additional, Wadhwani, Shikha, additional, Almaani, Salem, additional, Ayoub, Isabelle, additional, Nadasdy, Tibor, additional, Parikh, Samir, additional, Rovin, Brad, additional, Chang, Anthony, additional, Fatima, Huma, additional, Julian, Bruce, additional, Novak, Jan, additional, Renfrow, Matthew, additional, Rizk, Dana, additional, Chen, Dhruti, additional, Derebail, Vimal, additional, Falk, Ronald, additional, Gibson, Keisha, additional, Hogan, Susan, additional, Jain, Koyal, additional, Jennette, J. Charles, additional, Mottl, Amy, additional, Poulton, Caroline, additional, Saha, Manish Kanti, additional, Fogo, Agnes, additional, Sanghani, Neil, additional, Kidd, Jason, additional, Muthusamy, Selvaraj, additional, Schelling, Jeffrey, additional, Hou, Jean, additional, Lemley, Kevin, additional, Mika, Warren, additional, Russo, Pierre, additional, Denburg, Michelle, additional, Kogon, Amy, additional, Meyers, Kevin, additional, Pradhan, Madhura, additional, O'Toole, John, additional, Sedor, John, additional, Sethna, Christine, additional, Vento, Suzanne, additional, Atta, Mohamed, additional, Bagnasco, Serena, additional, Neu, Alicia, additional, Sperati, John, additional, Adler, Sharon, additional, Dai, Tiane, additional, Dukkipati, Ram, additional, Fervenza, Fernando, additional, Sethi, Sanjeev, additional, Kaskel, Frederick, additional, Brathwaite, Kaye, additional, Reidy, Kimberly, additional, Weisstuch, Joseph, additional, Wu, Ming, additional, Zhdanova, Olga, additional, Heymann, Jurgen, additional, Kopp, Jeffrey, additional, Waldman, Meryl, additional, Winkler, Cheryl, additional, Krissberg, Jill, additional, Lafayette, Richard, additional, Fahmeedah, Kamal, additional, Talley, Elizabeth, additional, Hladunewich, Michelle, additional, Parekh, Rulan, additional, Avila-Casado, Carmen, additional, Cattran, Daniel, additional, Heather, Reich, additional, Boll, Philip, additional, Drexler, Yelena, additional, Fornoni, Alessia, additional, Blazius, Brooke, additional, Hodgin, Jeffrey, additional, Oliverio, Andrea, additional, Hogan, Jon, additional, Palmer, Matthew, additional, Abromovitz, Blaise, additional, Mortiz, Michael, additional, Alpers, Charles, additional, Jefferson, J. Ashley, additional, Brown, Elizabeth, additional, Sambandam, Kamal, additional, Roehm, Bethany, additional, Graff, John, additional, Nast, Cynthia, additional, Barisoni, Laura, additional, Gillespie, Brenda, additional, and Kretzler, Matthias, additional

Published
2023
Full Text
View/download PDF

43. Rationale and design of the Nephrotic Syndrome Study Network (NEPTUNE) Match in glomerular diseases: designing the right trial for the right patient, today

Author

Massengill, Susan, Lo, Layla, Dell, Katherine, O’Toole, John, Sedor, John, Martin, Blair, Macumber, Ian, Sharma, Silpa, Srivastava, Tarak, Markus, Kelsey, Sethna, Christine, Vento, Suzanne, Canetta, Pietro, Olabisi, Opeyemi, Gbadegesin, Rasheed, Smith, Maurice, Greenbaum, Laurence, Wang, Chia-shi, Yun, Emily, Adler, Sharon, LaPage, Janine, Amarah, Amatur, Itteera, Mathew, Atkinson, Meredith, Williams, Miahje, Lieske, John, Hogan, Marie, Fervenza, Fernando, Selewski, David, Alston, Cheryl, Reidy, Kim, Ross, Michael, Kaskel, Frederick, Flynn, Patricia, Malaga-Dieguez, Laura, Zhdanova, Olga, Pehrson, Laura Jane, Miranda, Melanie, Almaani, Salem, Roberts, Laci, Lafayette, Richard, Dave, Shiktij, Lee, Iris, Shah, Shweta, Batla, Sadaf, Reich, Heather, Hladunewich, Michelle, Ling, Paul, Romano, Martin, Brakeman, Paul, Dylewski, James, Rogers, Nathan, McCarthy, Ellen, Creed, Catherine, Fornoni, Alessia, Bandes, Miguel, Kretzler, Matthias, Mariani, Laura, Modi, Zubin, Williams, A., Ni, Roxy, Nachman, Patrick, Rheault, Michelle, Kowalski, Amy, Rauwolf, Nicolas, Derebail, Vimal, Gibson, Keisha, Froment, Anne, Kelley, Sara, Holzman, Lawrence, Meyers, Kevin, Kallem, Krishna, Edwards, Aliya, Sharma, Samin, Roehm, Elizabeth, Sambandam, Kamalanathan, Brown, Elizabeth, Hellewege, Jamie, Jefferson, Ashley, Hingorani, Sangeeta, Tuttle, Katherine, Manahan, Linda, Pao, Emily, Kuykendall, Kelli, Lin, Jen Jar, Dharnidharka, Vikas, Gillespie, Brenda, Salmon, Eloise, Trachtman, Howard, Mainieri, Tina, Alter, Gabrielle, Arbit, Michael, Desmond, Hailey, Eddy, Sean, Fermin, Damian, Ju, Wenjun, Larkina, Maria, Lienczewski, Chrysta, Scherr, Rebecca, Troost, Jonathan, Williams, Amanda, Zhai, Yan, Kincaid, Colleen, Li, Shengqian, Li, Shannon, Gadegbeku, Crystal, Barisoni, Laura, Sampson, Matthew G., Smith, Abigail, Zee, Jarcy, Avila-Casado, Carmen, Bagnasco, Serena, Bu, Lihong, Caltharp, Shelley, Cassol, Clarissa, Demeke, Dawit, Hassler, Jared, Herlitz, Leal, Hewitt, Stephen, Hodgin, Jeff, Holanda, Danni, Kambham, Neeraja, Lemley, Kevin, Messias, Nidia, Mikhailov, Alexei, Moreno, Vanessa, Najafian, Behzad, Palmer, Matthew, Rosenberg, Avi, Royal, Virginie, Sekulik, Miroslav, Stokes, Barry, Thomas, David, Wu, Ming, Yamashita, Michifumi, Yin, Hong, Zuo . Cochairs, Yiqin, Nast, Cynthia, Williams, Amanda L., Mariani, Laura H., Ascani, Heather K., Uhlmann, Wendy R., Spino, Cathie, Holzman, Lawrence B., Sedor, John R., Subramanian, Lalita, Lienczewski, Chrysta C., Manieri, Tina, Roberts, Scott J., and Gipson, Debbie S.

Published
2024
Full Text
View/download PDF

44. Defining the molecular correlate of arteriolar hyalinosis in kidney disease progression by integration of single cell transcriptomic analysis and pathology scoring

Author

Menon, Rajasree, Otto, Edgar A., Barisoni, Laura, Ferreira, Ricardo Melo, Limonte, Christine P., Godfrey, Bradley, Eichinger, Felix, Nair, Viji, Naik, Abhijit S., Subramanian, Lalita, D’Agati, Vivette, Henderson, Joel M., Herlitz, Leal, Kiryluk, Krzysztof, Moledina, Dennis G., Moeckel, Gilbert W., Palevsky, Paul M., Parikh, Chirag R., Randhawa, Parmjeet, Rosas, Sylvia E., Rosenberg, Avi Z., Stillman, Isaac, Toto, Robert, Torrealba, Jose, Vazquez, Miguel A., Waikar, Sushrut, Alpers, Charles E., Nelson, Robert G., Eadon, Michael T., Kretzler, Matthias, and Hodgin, Jeffrey B.

Subjects
Article
Abstract

Arteriolar hyalinosis in kidneys is an independent predictor of cardiovascular disease, the main cause of mortality in chronic kidney disease (CKD). The underlying molecular mechanisms of protein accumulation in the subendothelial space are not well understood. Using single cell transcriptomic data and whole slide images from kidney biopsies of patients with CKD and acute kidney injury in the Kidney Precision Medicine Project, the molecular signals associated with arteriolar hyalinosis were evaluated. Co-expression network analysis of the endothelial genes yielded three gene set modules as significantly associated with arteriolar hyalinosis. Pathway analysis of these modules showed enrichment of transforming growth factor beta / Bone morphogenetic protein (TGFβ / BMP) and vascular endothelial growth factor (VEGF) signaling pathways in the endothelial cell signatures. Ligand-receptor analysis identified multiple integrins and cell adhesion receptors as over-expressed in arteriolar hyalinosis, suggesting a potential role of integrin-mediated TGFβ signaling in arteriolar hyalinosis. Further analysis of arteriolar hyalinosis associated endothelial module genes identified focal segmental glomerular sclerosis as an enriched term. On validation in gene expression profiles from the Nephrotic Syndrome Study Network cohort, one of the three modules was significantly associated with the composite endpoint (> 40% reduction in estimated glomerular filtration rate (eGFR) or kidney failure) independent of age, sex, race, and baseline eGFR, suggesting poor prognosis with elevated expression of genes in this module. Thus, integration of structural and single cell molecular features yielded biologically relevant gene sets, signaling pathways and ligand-receptor interactions, underlying arteriolar hyalinosis and putative targets for therapeutic intervention.

Published
2023

45. Reproducibility and Feasibility of Strategies for Morphologic Assessment of Renal Biopsies Using the Nephrotic Syndrome Study Network Digital Pathology Scoring System

Author

Zee, Jarcy, Hodgin, Jeffrey B., Mariani, Laura H., Gaut, Joseph P., Palmer, Matthew B., Bagnasco, Serena M., Rosenberg, Avi Z., Hewitt, Stephen M., Holzman, Lawrence B., Gillespie, Brenda W., and Barisoni, Laura

Subjects
Nephrotic syndrome -- Diagnosis -- Care and treatment, Kidney biopsy -- Methods, Glomeruli -- Medical examination, Test reliability -- Evaluation, Health
Abstract

* Context.--Testing reproducibility is critical for the development of methodologies for morphologic assessment. Our previous study using the descriptor-based Nephrotic Syndrome Study Network Digital Pathology Scoring System (NDPSS) on glomerular images revealed variable reproducibility. Objective.--To test reproducibility and feasibility of alternative scoring strategies for digital morphologic assessment of glomeruli and explore use of alternative agreement statistics. Design.--The original NDPSS was modified (NDPSS1 and NDPSS2) to evaluate (1) independent scoring of each individual biopsy level, (2) use of continuous measures, (3) groupings of individual descriptors into classes and sub-classes prior to scoring, and (4) indication of pathologists' confidence/uncertainty for any given score. Three and 5 pathologists scored 157 and 79 glomeruli using the NDPSS1 and NDPSS2, respectively. Agreement was tested using conventional (Cohen [kappa]) and alternative (Gwet agreement coefficient 1 [[AC.sub.1]]) agreement statistics and compared with previously published data (original NDPSS). Results.--Overall, pathologists' uncertainty was low, favoring application of the Gwet [AC.sub.1]. Greater agreement was achieved using the Gwet [AC.sub.1] compared with the Cohen [kappa] across all scoring methodologies. Mean (standard deviation) differences in agreement estimates using the NDPSS1 and NDPSS2 compared with the single-level original NDPSS were -0.09 (0.17) and -0.17 (0.17), respectively. Using the Gwet [AC.sub.1], 79% of the original NDPSS descriptors had good or excellent agreement. Pathologist feedback indicated the NDPSS1 and NDPSS2 were time-consuming. Conclusions.--The NDPSS1 and NDPSS2 increased pathologists' scoring burden without improving reproducibility. Use of alternative agreement statistics was strongly supported. We suggest using the original NDPSS on whole slide images for glomerular morphology assessment and for guiding future automated technologies. (Arch Pathol Lab Med. 2018;142:613-625; doi: 10.5858/arpa.2017-0181-OA), In the setting of clinical trials and translational research, the morphologic evaluation of renal biopsies has progressively transitioned from use of conventional light microscopy to digital pathology on whole slide [...]

Published
2018
Full Text
View/download PDF

48. Decoding the Encoder

Author

Ray, Aritra, primary, Li, Xiang, additional, Barisoni, Laura, additional, Chakrabarty, Krishnendu, additional, and Lafata, Kyle, additional

Published
2023
Full Text
View/download PDF

49. Inaxaplin for Proteinuric Kidney Disease in Persons with Two APOL1 Variants

Author

Egbuna, Ogo, primary, Zimmerman, Brandon, additional, Manos, George, additional, Fortier, Anne, additional, Chirieac, Madalina C., additional, Dakin, Leslie A., additional, Friedman, David J., additional, Bramham, Kate, additional, Campbell, Kirk, additional, Knebelmann, Bertrand, additional, Barisoni, Laura, additional, Falk, Ronald J., additional, Gipson, Debbie S., additional, Lipkowitz, Michael S., additional, Ojo, Akinlolu, additional, Bunnage, Mark E., additional, Pollak, Martin R., additional, Altshuler, David, additional, and Chertow, Glenn M., additional

Published
2023
Full Text
View/download PDF

50. Racial and Ethnic Disparities in Acute Care Utilization Among Patients With Glomerular Disease

Author

Krissberg, Jill R., primary, O’Shaughnessy, Michelle M., additional, Smith, Abigail R., additional, Helmuth, Margaret E., additional, Almaani, Salem, additional, Aviles, Diego H., additional, Brathwaite, Kaye E., additional, Cai, Yi, additional, Cattran, Daniel, additional, Gbadegesin, Rasheed, additional, Glenn, Dorey A., additional, Greenbaum, Larry A., additional, Iragorri, Sandra, additional, Jain, Koyal, additional, Khalid, Myda, additional, Kidd, Jason, additional, Kopp, Jeffrey, additional, Lafayette, Richard, additional, Lane, Jerome C., additional, Lugani, Francesca, additional, Nestor, Jordan G., additional, Parekh, Rulan S., additional, Reidy, Kimberly, additional, Selewski, David T., additional, Sethna, Christine B., additional, Sperati, C. John, additional, Tuttle, Katherine, additional, Twombley, Katherine, additional, Vasylyeva, Tetyana L., additional, Weaver, Donald J., additional, Wenderfer, Scott E., additional, Gibson, Keisha, additional, Ahn, Wooin, additional, Appel, Gerald, additional, Appelbaum, Paul, additional, Babayev, Revekka, additional, Bomback, Andrew, additional, Brown, Eric, additional, Canetta, Pietro, additional, Carlassara, Lucrezia, additional, Chan, Brenda, additional, D’Agati, Vivette Denise, additional, Dogra, Samitri, additional, Fernandez, Hilda, additional, Gharavi, Ali, additional, Hines, William, additional, Husain, Syed Ali, additional, Kiryluk, Krzysztof, additional, Lin, Fangming, additional, Marasa, Maddalena, additional, Markowitz, Glen, additional, Rasouly, Hila Milo, additional, Mohan, Sumit, additional, Mongera, Nicola, additional, Nickolas, Thomas, additional, Radhakrishnan, Jai, additional, Rao, Maya, additional, Sanna-Cherchi, Simone, additional, Shirazian, Shayan, additional, Stokes, Michael Barry, additional, Uy, Natalie, additional, Valeri, Anthony, additional, Vena, Natalie, additional, Foroncewicz, Bartosz, additional, Moszczuk, Barbara, additional, Mucha, Krzysztof, additional, Perkowska-Ptasińska, Agnieszka, additional, Ghiggeri, Gian Marco, additional, Ambruzs, Josephine, additional, Liapis, Helen, additional, Baracco, Rossana, additional, Jain, Amrish, additional, Ashoor, Isa, additional, Srivastava, Tarak, additional, Ahn, Sun-Young, additional, Devarajan, Prasad, additional, Erkan, Elif, additional, Claes, Donna, additional, Stone, Hillarey, additional, Mason, Sherene, additional, Silva, Cynthia, additional, Gomez-Mendez, Liliana, additional, Wang, Chia-shi, additional, Yin, Hong (Julie), additional, Jens, Goebel, additional, Steinke, Julia, additional, Cramer, Carl, additional, Pan, Cindy, additional, Sreedharan, Rajasree, additional, Bowers, Corinna, additional, Dreher, Mary, additional, Kallash, Mahmoud, additional, Mahan, John, additional, Sharpe, Samantha, additional, Smoyer, William, additional, Al-Uzri, Amira, additional, Belsha, Craig, additional, Braun, Michael, additional, Gomez, A.C., additional, Feig, Daniel, additional, Fuentes, Gabriel Cara, additional, Hannah, Melisha, additional, Nester, Carla, additional, Chishti, Aftab, additional, Klein, Jon, additional, Katsoufis, Chryso, additional, Seeherunvong, Wacharee, additional, Rheault, Michelle, additional, Wong, Craig, additional, Mathews, Nisha, additional, Barcia, John, additional, Swiatecka-Urban, Agnes, additional, Bartosh, Sharon, additional, Hunley, Tracy, additional, Dharnidharka, Vikas, additional, Gaut, Joseph, additional, Laurin, Louis-Philippe, additional, Royal, Virginie, additional, Achanti, Anand, additional, Budisavljevic, Milos, additional, Self, Sally, additional, Ghossein, Cybele, additional, Wadhwani, Shikha, additional, Ayoub, Isabelle, additional, Nadasdy, Tibor, additional, Parikh, Samir, additional, Rovin, Brad, additional, Chang, Anthony, additional, Fatima, Huma, additional, Novak, Jan, additional, Renfrow, Matthew, additional, Rizk, Dana, additional, Chen, Dhruti, additional, Derebail, Vimal, additional, Falk, Ronald, additional, Hogan, Susan, additional, Jennette, J. Charles, additional, Mottl, Amy, additional, Poulton, Caroline, additional, Saha, Manish Kanti, additional, Fogo, Agnes, additional, Sanghani, Neil, additional, Massey, Hugh, additional, Muthusamy, Selvaraj, additional, Ganesan, Santhi, additional, Gonzalez-Vicente, Agustin, additional, Schelling, Jeffrey, additional, Hou, Jean, additional, Lemley, Kevin, additional, Mika, Warren, additional, Russo, Pierre, additional, Denburg, Michelle, additional, Kogon, Amy, additional, Meyers, Kevin, additional, Pradhan, Madhura, additional, Matar, Raed Bou, additional, O’Toole, John, additional, Sedor, John, additional, Bagnasco, Serena, additional, Neu, Alicia, additional, Adler, Sharon, additional, Dai, Tiane, additional, Dukkipati, Ram, additional, Fervenza, Fernando, additional, Sethi, Sanjeev, additional, Kaskel, Frederick, additional, Vento, Suzanne, additional, Weisstuch, Joseph, additional, Wu, Ming, additional, Zhdanova, Olga, additional, Heymann, Jurgen, additional, Waldman, Meryl, additional, Winkler, Cheryl, additional, Hladunewich, Michelle, additional, Avila-Casado, Carmen, additional, Heather, Reich, additional, Boll, Philip, additional, Drexler, Yelena, additional, Fornoni, Alessia, additional, Gipson, Patrick, additional, Hodgin, Jeffrey, additional, Oliverio, Andrew, additional, Hogan, Jon, additional, Holzman, Lawrence, additional, Palmer, Matthew, additional, Abromovitz, Blaise, additional, Mortiz, Michael, additional, Alpers, Charles, additional, Jefferson, J. Ashley, additional, Brown, Elizabeth, additional, Sambandam, Kamal, additional, Robinson, Bruce, additional, Nast, Cynthia, additional, Barisoni, Laura, additional, Gillespie, Brenda, additional, Gipson, Deb, additional, Hicken, Maggie, additional, Kretzler, Matthias, additional, Mariani, Laura, additional, and Guay-Woodford, Lisa M., additional

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results