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18,624 results on '"Taryn A"'

308. How Many Annotators Do We Need? -- A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment

Author

Wilm, Frauke, Bertram, Christof A., Marzahl, Christian, Bartel, Alexander, Donovan, Taryn A., Assenmacher, Charles-Antoine, Becker, Kathrin, Bennett, Mark, Corner, Sarah, Cossic, Brieuc, Denk, Daniela, Dettwiler, Martina, Gonzalez, Beatriz Garcia, Gurtner, Corinne, Lehmbecker, Annika, Merz, Sophie, Plog, Stephanie, Schmidt, Anja, Smedley, Rebecca C., Tecilla, Marco, Thaiwong, Tuddow, Breininger, Katharina, Kiupel, Matti, Maier, Andreas, Klopfleisch, Robert, and Aubreville, Marc

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Density of mitotic figures in histologic sections is a prognostically relevant characteristic for many tumours. Due to high inter-pathologist variability, deep learning-based algorithms are a promising solution to improve tumour prognostication. Pathologists are the gold standard for database development, however, labelling errors may hamper development of accurate algorithms. In the present work we evaluated the benefit of multi-expert consensus (n = 3, 5, 7, 9, 11) on algorithmic performance. While training with individual databases resulted in highly variable F$_1$ scores, performance was notably increased and more consistent when using the consensus of three annotators. Adding more annotators only resulted in minor improvements. We conclude that databases by few pathologists and high label accuracy may be the best compromise between high algorithmic performance and time investment., Comment: Due to data inconsistencies experiments had to be repeated with a reduced number of annotators (17 in version 1). All findings of the previous version were reproducible. 7 pages, 2 figures, accepted at BVM workshop 2021

Published
2020
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309. A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research

Author

Aubreville, Marc, Bertram, Christof A., Donovan, Taryn A., Marzahl, Christian, Maier, Andreas, and Klopfleisch, Robert

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

Canine mammary carcinoma (CMC) has been used as a model to investigate the pathogenesis of human breast cancer and the same grading scheme is commonly used to assess tumor malignancy in both. One key component of this grading scheme is the density of mitotic figures (MF). Current publicly available datasets on human breast cancer only provide annotations for small subsets of whole slide images (WSIs). We present a novel dataset of 21 WSIs of CMC completely annotated for MF. For this, a pathologist screened all WSIs for potential MF and structures with a similar appearance. A second expert blindly assigned labels, and for non-matching labels, a third expert assigned the final labels. Additionally, we used machine learning to identify previously undetected MF. Finally, we performed representation learning and two-dimensional projection to further increase the consistency of the annotations. Our dataset consists of 13,907 MF and 36,379 hard negatives. We achieved a mean F1-score of 0.791 on the test set and of up to 0.696 on a human breast cancer dataset., Comment: 12 pages, 5 figures

Published
2020
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310. Author Correction: Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection

Author

Ferar, Kathleen, Hall, Taryn O., Crawford, Dana C., Rowley, Robb, Satterfield, Benjamin A., Li, Rongling, Gragert, Loren, Karlson, Elizabeth W., de Andrade, Mariza, Kullo, Iftikhar J., McCarty, Catherine A., Kho, Abel, Hayes, M. Geoffrey, Ritchie, Marylyn D., Crane, Paul K., Mirel, Daniel B., Carlson, Christopher, Connolly, John J., Hakonarson, Hakon, Crenshaw, Andrew T., Carrell, David, Luo, Yuan, Dikilitas, Ozan, Denny, Joshua C., Jarvik, Gail P., and Crosslin, David R.

Published
2023
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312. Genetic variation in the human leukocyte antigen region confers susceptibility to Clostridioides difficile infection

Author

Ferar, Kathleen, Hall, Taryn O., Crawford, Dana C., Rowley, Robb, Satterfield, Benjamin A., Li, Rongling, Gragert, Loren, Karlson, Elizabeth W., de Andrade, Mariza, Kullo, Iftikhar J., McCarty, Catherine A., Kho, Abel, Hayes, M. Geoffrey, Ritchie, Marylyn D., Crane, Paul K., Mirel, Daniel B., Carlson, Christopher, Connolly, John J., Hakonarson, Hakon, Crenshaw, Andrew T., Carrell, David, Luo, Yuan, Dikilitas, Ozan, Denny, Joshua C., Jarvik, Gail P., and Crosslin, David R.

Published
2023
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314. Targetable NOTCH1 rearrangements in reninoma

Author

Treger, Taryn D., Lawrence, John E. G., Anderson, Nathaniel D., Coorens, Tim H. H., Letunovska, Aleksandra, Abby, Emilie, Lee-Six, Henry, Oliver, Thomas R. W., Al-Saadi, Reem, Tullus, Kjell, Morcrette, Guillaume, Hutchinson, J. Ciaran, Rampling, Dyanne, Sebire, Neil, Pritchard-Jones, Kathy, Young, Matthew D., Mitchell, Thomas J., Jones, Philip H., Tran, Maxine, Behjati, Sam, and Chowdhury, Tanzina

Published
2023
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322. Improving social justice in observational studies: protocol for the development of a global and Indigenous STROBE-equity reporting guideline

Author

Funnell, Sarah, Jull, Janet, Mbuagbaw, Lawrence, Welch, Vivian, Dewidar, Omar, Wang, Xiaoqin, Lesperance, Miranda, Ghogomu, Elizabeth, Rizvi, Anita, Akl, Elie A., Avey, Marc T., Antequera, Alba, Bhutta, Zulfiqar A., Chamberlain, Catherine, Craig, Peter, Cuervo, Luis Gabriel, Dicko, Alassane, Ellingwood, Holly, Feng, Cindy, Francis, Damian, Greer-Smith, Regina, Hardy, Billie-Jo, Harwood, Matire, Hatcher-Roberts, Janet, Horsley, Tanya, Juando-Prats, Clara, Kasonde, Mwenya, Kennedy, Michelle, Kredo, Tamara, Krentel, Alison, Kristjansson, Elizabeth, Langer, Laurenz, Little, Julian, Loder, Elizabeth, Magwood, Olivia, Mahande, Michael Johnson, Melendez-Torres, G. J., Moore, Ainsley, Niba, Loveline Lum, Nicholls, Stuart G., Nkangu, Miriam Nguilefem, Lawson, Daeria O., Obuku, Ekwaro, Okwen, Patrick, Pantoja, Tomas, Petkovic, Jennifer, Petticrew, Mark, Pottie, Kevin, Rader, Tamara, Ramke, Jacqueline, Riddle, Alison, Shamseer, Larissa, Sharp, Melissa, Shea, Bev, Tanuseputro, Peter, Tugwell, Peter, Tufte, Janice, Von Elm, Erik, Waddington, Hugh Sharma, Wang, Harry, Weeks, Laura, Wells, George, White, Howard, Wiysonge, Charles Shey, Wolfenden, Luke, and Young, Taryn

Published
2023
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324. Low-Intensity mental health Support via a Telehealth Enabled Network for adults with diabetes (LISTEN): protocol for a hybrid type 1 effectiveness implementation trial

Author

Holloway, Edith E., Gray, Shikha, Mihalopoulos, Cathrine, Versace, Vincent L., Le Gautier, Roslyn, Chatterton, Mary Lou, Hagger, Virginia, Halliday, Jennifer, Henshaw, Kim, Harrap, Benjamin, Manallack, Sarah, Black, Taryn, Van Bruggen, Natasha, Hines, Carolyn, O’Neil, Adrienne, Skinner, Timothy C., Speight, Jane, and Hendrieckx, Christel

Published
2023
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332. An Integrated Conservation Vision for Chilean Patagonia

Author

Armesto, Juan J., Martínez-Harms, María José, Castilla, Juan Carlos, Fuentes-Castillo, Taryn, Rezaei, Nima, Editor-in-Chief, Castilla, Juan Carlos, editor, Armesto Zamudio, Juan J., editor, Martínez-Harms, María José, editor, and Tecklin, David, editor

Published
2023
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337. COVID Diagnostics: From Molecules to Omics

Author

Chikomba, Chemedzai, Dlamini, Siphelele, George, Jaya A., Pillay, Taryn, Crusio, Wim E., Series Editor, Dong, Haidong, Series Editor, Radeke, Heinfried H., Series Editor, Rezaei, Nima, Series Editor, Steinlein, Ortrud, Series Editor, Xiao, Junjie, Series Editor, and Guest, Paul C., editor

Published
2023
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347. How Do Latinx Dual Credit Earners Describe Their Sense of Belonging in Engineering Programs?

Author

Allen, Taryn Ozuna, Thompson, Melissa Laird, and Collins, Shalun

Abstract

This study examined how 10 Latinx students perceived their sense of belonging in engineering programs. Drawing upon Strayhorn's definition of sense of belonging, we sought to understand the experiences and individuals that facilitated Latinx students' connections to their engineering programs and to the larger campus community at a 4-year university in Texas. The findings from this study indicate interactions with faculty members, academic advisors, and peers through student organizations facilitated a strong sense of belonging. However, the size and rigor of classes, distance to campus, outside responsibilities, and feeling like an outsider created challenges to students' sense of belonging at the university. Recommendations for practice and future research are offered.

Published
2022
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348. Implementing stakeholder engagement to explore alternative models of consent: An example from the PREP-IT trials

Author

Pechero, Guillermo, Pfaff, Branden, Rao, Mayank, Pogorzelski, David, McKay, Paula, Spicer, Ella, Howe, Andrea, Demyanovich, Haley K, Sietsema, Debra L, McTague, Michael F, Ramsey, Lolita, Holden, Martha, Rudnicki, Joshua, Wells, Jeff, Medeiros, Michelle, Slobogean, Gerard P, Sprague, Sheila, Investigators, PREP-IT, Wells, Jeffrey, Bhandari, Mohit, Committee, Steering, D'Alleyrand, Jean-Claude, Harris, Anthony D, Mullins, Daniel C, Thabane, Lehana, Wood, Amber, Committee, Adjudication, Della Rocca, Gregory J, Hebden, Joan, Jeray, Kyle J, Marchand, Lucas, O'Hara, Lyndsay M, Zura, Robert, Committee, Data and Safety Monitoring, Gardner, Michael J, Blasman, Jenna, Davies, Jonah, Liang, Stephen, Taljaard, Monica, Core, Research Methodology, Devereaux, PJ, Guyatt, Gordon H, Heels-Ansdell, Diane, Core, Patient Centred Outcomes, Marvel, Debra, Palmer, Jana, Friedrich, Jeff, O'Hara, Nathan N, Grissom, Frances, Core, Orthopaedic Surgery, Gitajn, I Leah, Morshed, Saam, O'Toole, Robert V, Petrisor, Bradley A, Core, Room, Camara, Megan, Mossuto, Franca, Core, Infectious Disease, Joshi, Manjari G, Core, Fowler, Justin, Rivera, Jessica, Talbot, Max, Dodds, Shannon, Garibaldi, Alisha, Li, Silvia, Nguyen, Uyen, Rojas, Alejandra, Scott, Taryn, Del Fabbro, Gina, Szasz, Olivia Paige, Demyanovich, Haley, Little, Kelly, Mullins, C Daniel, Kettering, Eric, Hale, Diamond, Sites, PREP-IT Clinical, Eglseder, Andrew, Johnson, Aaron, Langhammer, Christopher, Lebrun, Christopher, Manson, Theodore, and Nascone, Jason

Subjects
Clinical Research, Patient Safety, Clinical Trials and Supportive Activities, Health and social care services research, 8.4 Research design and methodologies (health services), PREP-IT Investigators, Steering Committee, Adjudication Committee, Data and Safety Monitoring Committee, Research Methodology Core, Patient Centred Outcomes Core, Orthopaedic Surgery Core, Operating Room Core, Infectious Disease Core, Military Core, PREP-IT Clinical Sites, Aqueous-PREP and PREPARE, Aqueous-PREP, PREPARE, Cluster randomized crossover, Consent, Deferred consent, Patient advisors, Stakeholder engagement, Trial design
Abstract

IntroductionCluster randomized crossover trials are often faced with a dilemma when selecting an optimal model of consent, as the traditional model of obtaining informed consent from participant's before initiating any trial related activities may not be suitable. We describe our experience of engaging patient advisors to identify an optimal model of consent for the PREP-IT trials. This paper also examines surrogate measures of success for the selected model of consent.MethodsThe PREP-IT program consists of two multi-center cluster randomized crossover trials that engaged patient advisors to determine an optimal model of consent. Patient advisors and stakeholders met regularly and reached consensus on decisions related to the trial design including the model for consent. Patient advisors provided valuable insight on how key decisions on trial design and conduct would be received by participants and the impact these decisions will have.ResultsPatient advisors, together with stakeholders, reviewed the pros and cons and the requirements for the traditional model of consent, deferred consent, and waiver of consent. Collectively, they agreed upon a deferred consent model, in which patients may be approached for consent after their fracture surgery and prior to data collection. The consent rate in PREP-IT is 80.7%, and 0.67% of participants have withdrawn consent for participation.DiscussionInvolvement of patient advisors in the development of an optimal model of consent has been successful. Engagement of patient advisors is recommended for other large trials where the traditional model of consent may not be optimal.

Published
2021

349. Exposure to DMSO during infancy alters neurochemistry, social interactions, and brain morphology in long-evans rats.

Author

Rabow, Zachary, Morningstar, Taryn, Showalter, Megan, Heil, Hailey, Thongphanh, Krista, Fan, Sili, Chan, Joanne, Martínez-Cerdeño, Verónica, Berman, Robert, Zagzag, David, Nudler, Evgeny, Fiehn, Oliver, and Lechpammer, Mirna

Subjects
Brain, Animals, Rats, Rats, Long-Evans, Dimethyl Sulfoxide, Neurochemistry, Social Interaction, glial cells, metabolomics, neurochemistry, neuropharmacology, Pediatric, Behavioral and Social Science, Neurosciences, Neurological, Psychology, Cognitive Sciences
Abstract

IntroductionDimethyl sulfoxide (DMSO) is a widely used solvent to dissolve hydrophobic substances for clinical uses and experimental in vivo purposes. While usually regarded safe, our prior studies suggest changes to behavior following DMSO exposure. We therefore evaluated the effects of a five-day, short-term exposure to DMSO on postnatal infant rats (P6-10).MethodsDMSO was intraperitoneally injected for five days at 0.2, 2.0, and 4.0 ml/kg body mass. One cohort of animals was sacrificed 24 hr after DMSO exposure to analyze the neurometabolic changes in four brain regions (cortex, hippocampus, basal ganglia, and cerebellum) by hydrophilic interaction liquid chromatography. A second cohort of animals was used to analyze chronic alterations to behavior and pathological changes to glia and neuronal cells later in life (P21-P40).Results164 metabolites, including key regulatory molecules (retinoic acid, orotic acid, adrenic acid, and hypotaurine), were found significantly altered by DMSO exposure in at least one of the brain regions at P11 (p

Published
2021

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