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931 results on '"Lehmann, David"'

2. Cover

Author

Lehmann, David

Published
2018

7. Index

Author

Lehmann, David

Published
2018

8. Glossary

Author

Lehmann, David

Published
2018

15. Preface

Author

Lehmann, David

Published
2018

16. Foreword

Author

Lehmann, David

Published
2018

24. IL-13 and IL-13–induced periostin levels are specifically decreased in patients following endoscopic sinus surgery for chronic rhinosinusitis

Author

Harmon, Regan, Schneider, Alexander L., Bai, Junqin, Racette, Samuel D., Reddy, Abhita T., Huang, Julia H., Lehmann, David S., Price, Caroline P.E., Rodeghiero, Samuel, Agarwal, Aditi, Eide, Jacob G., Dong, Siyuan, Conley, David B., Welch, Kevin C., Kern, Robert C., Shintani-Smith, Stephanie, Peters, Anju T., Kato, Atsushi, Stevens, Whitney W., Muhammad, Lutfiyya N., Schleimer, Robert P., and Tan, Bruce K.

Published
2024
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26. Ab-Externo MicroShunt versus Trabeculectomy in Primary Open-Angle Glaucoma: Two-Year Results from a Randomized, Multicenter Study

Author

Vold, Steven, McFarland, Michael, Stiles, Michael, Stechschulte, Ann, Strom, Amanda, Reynolds, Adam, Noecker, Robert, Thimons, Joseph, Khaimi, Mahmoud, Allen, Evan, Sarkisian, Steve, Barnebey, Howard, Golez, Ernesto, Feldman, Robert, Bell, Nicholas, Blieden, Lauren, Cantor, Louis, WuDunn, Darrell, Catoira-Boyle, Yara, Chen, Huiyi, Evans, Joshua, Martin, Elizabeth, Sozeri, Yasemin, Srivastava, Vinita, Wise, Ryan, Schwartz, Kenneth, Grover, Davinder, Butler, Michelle, Emanuel, Matthew, Fellman, Ronald, Godfrey, David, Smith, Oluwatosin, Kornmann, Helen, Khatana, Anup, Hagee, Daniel, Kuhlman, Brian, Zink, Jeffrey, Moster, Marlene, Dale, Elizabeth, Pro, Michael, Baker, Douglas, Chambers, Megan, Lehmann, David, Caprioli, Joseph, Francis, Brian, Giaconi, JoAnn, Law, Simon, Nouri-Mahdavi, Kouros, Coleman, Anne, Flynn, William, Rashid, Edward, Reilly, Charles, Rice, Robert, Sidoti, Paul, Panarelli, Joseph, Garg, Reena, Tania Tai, Tak Yee, Vinod, Kate, Harizman, Noga, Ritch, Robert, Reiss, George, Dewan, Vinay, Patel, Shamil, Sorenson, Christina, Larsen, Christine, Samuelson, Thomas, Hansen, Mark, Barth, Tara, Blakstad, Alyson, Buboltz, Mark, Fahmy, Ahmad, Fahmy, Mona, Montealegre, Kate, Mizener, Martin, Whitted, Peter, Lim, Michele, Brandt, James, Baik, Annie, Jiang, Angela, Brown, Steve V.L., Breunig, Adam C., Gorla, Madhu S.R., Riss, Isabelle, Feijoo, Garcia, Mendez Hernandez, Carmen, Martinez de la Casa, Jose, Dupré Pelaez, Mauro, Fernandez Vidal, Ana, García Sáenz, Sofia, Morales Fernandez, Laura, Sáenz Francés, Federico, Santos Bueso, Enrique, Perucho Gonzalez, Lucia, Beckers, Henny J.M., Kujovic, Stefani, Nardi, Marco, Maglionico, Maria N., Nasini, Francesco, Passani, Andrea, Strouthidis, Nick, Barton, Keith, Clarke, Jonathan, Gazzard, Gus, Jayaram, Hari, Khaw, Peng, Papadopoulos, Maria, Puertas, Renata, Toth, Marta, Lunt, David, Triolo, Giacinto, Kam, Ronald, Levine, Jason, Flowers, Brian, Nair, Unni, Simmons, Steven, Pokabla, Michael, Panarelli, Joseph F., Moster, Marlene R., Garcia-Feijoo, Julian, Flowers, Brian E., Baker, N. Douglas, Barnebey, Howard S., Grover, Davinder S., Khatana, Anup K., Lee, Bonny, Nguyen, Tuan, Stiles, Michael C., Sadruddin, Omar, and Khaw, Peng T.

Published
2024
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28. Towards Neural Network Patching: Evaluating Engagement-Layers and Patch-Architectures

Author

Kauschke, Sebastian and Lehmann, David Hermann

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

In this report we investigate fundamental requirements for the application of classifier patching on neural networks. Neural network patching is an approach for adapting neural network models to handle concept drift in nonstationary environments. Instead of creating or updating the existing network to accommodate concept drift, neural network patching leverages the inner layers of the network as well as its output to learn a patch that enhances the classification and corrects errors caused by the drift. It learns (i) a predictor that estimates whether the original network will misclassify an instance, and (ii) a patching network that fixes the misclassification. Neural network patching is based on the idea that the original network can still classify a majority of instances well, and that the inner feature representations encoded in the deep network aid the classifier to cope with unseen or changed inputs. In order to apply this kind of patching, we evaluate different engagement layers and patch architectures in this report, and find a set of generally applicable heuristics, which aid in parametrizing the patching procedure.

Published
2018

30. Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data

Author

Lehmann, David Hermann, primary, Gomes, Bruna, additional, Vetter, Niklas, additional, Braun, Olivia, additional, Amr, Ali, additional, Hilbel, Thomas, additional, Müller, Jens, additional, Köthe, Ulrich, additional, Reich, Christoph, additional, Kayvanpour, Elham, additional, Sedaghat-Hamedani, Farbod, additional, Meder, Manuela, additional, Haas, Jan, additional, Ashley, Euan, additional, Rottbauer, Wolfgang, additional, Felbel, Dominik, additional, Bekeredjian, Raffi, additional, Mahrholdt, Heiko, additional, Keller, Andreas, additional, Ong, Peter, additional, Seitz, Andreas, additional, Hund, Hauke, additional, Geis, Nicolas, additional, André, Florian, additional, Engelhardt, Sandy, additional, Katus, Hugo A, additional, Frey, Norbert, additional, Heuveline, Vincent, additional, and Meder, Benjamin, additional

Published
2024
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31. Workshop on Pesticide Exposure Assessment Paradigm for Non-Apis Bees: Foundation and Summaries

Author

Boyle, Natalie K, Pitts-Singer, Theresa L, Abbott, John, Alix, Anne, Cox-Foster, Diana L, Hinarejos, Silvia, Lehmann, David M, Morandin, Lora, O'Neill, Bridget, Raine, Nigel E, Singh, Rajwinder, Thompson, Helen M, Williams, Neal M, and Steeger, Thomas

Subjects
Animals, Bees, Environmental Exposure, Female, Larva, Pesticides, Risk Assessment, risk assessment, pesticides, pollinators, routes of exposure, Zoology, Entomology
Abstract

Current pesticide risk assessment practices use the honey bee, Apis mellifera L., as a surrogate to characterize the likelihood of chemical exposure of a candidate pesticide for all bee species. Bees make up a diverse insect group that provides critical pollination services to both managed and wild ecosystems. Accordingly, they display a diversity of behaviors and vary greatly in their lifestyles and phenologies, such as their timing of emergence, degree of sociality, and foraging and nesting behaviors. Some of these factors may lead to disparate or variable routes of exposure when compared to honey bees. For those that possess life histories that are distinct from A. mellifera, further risk assessments may be warranted. In January 2017, 40 bee researchers, representative of regulatory agencies, academia, and agrochemical industries, gathered to discuss the current state of science on pesticide exposure to non-Apis bees and to determine how well honey bee exposure estimates, implemented by different regulatory agencies, may be protective for non-Apis bees. Workshop participants determined that although current risk assessment procedures for honey bees are largely conservative, several routes of exposure are unique to non-Apis bees and warranted further investigation. In this forum article, we discuss these key routes of exposure relevant to non-Apis bees and identify important research gaps that can help inform future bee risk assessment decisions.

Published
2019

35. microRNA neural networks improve diagnosis of acute coronary syndrome (ACS)

Author

Kayvanpour, Elham, Gi, Weng-Tein, Sedaghat-Hamedani, Farbod, Lehmann, David H., Frese, Karen S., Haas, Jan, Tappu, Rewati, Samani, Omid Shirvani, Nietsch, Rouven, Kahraman, Mustafa, Fehlmann, Tobias, Müller-Hennessen, Matthias, Weis, Tanja, Giannitsis, Evangelos, Niederdränk, Torsten, Keller, Andreas, Katus, Hugo A., and Meder, Benjamin

Published
2021
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42. The inter‐laboratory validation study of EpiSensA for predicting skin sensitization potential.

Author

Mizumachi, Hideyuki, Watanabe, Mika, Ikezumi, Mayu, Kajiwara, Michika, Yasuda, Michiyo, Mizuno, Makoto, Imai, Noriyasu, Sakuma, Megumi, Shibata, Momoko, Watanabe, Shin‐ichi, Motoyama, Junko, Basketter, David, Eskes, Chantra, Hoffmann, Sebastian, Lehmann, David M., Ashikaga, Takao, Sozu, Takashi, Takeyoshi, Masahiro, Suzuki, Sho, and Miyazawa, Masaaki

Subjects
CHEMICAL testing, CHEMICAL potential, GENE expression, TEST methods, SKIN tests
Abstract

The Epidermal Sensitization Assay (EpiSensA) is a reconstructed human epidermis (RhE)‐based gene expression assay for predicting the skin sensitization potential of chemicals. Since the RhE model is covered by a stratified stratum corneum, various kinds of test chemicals, including lipophilic ones and pre‐/pro‐haptens, can be tested with a route of exposure akin to an in vivo assay and human exposure. This article presents the results of a formally managed validation study of the EpiSensA that was carried out by three participating laboratories. The purpose of this validation study was to assess transferability of the EpiSensA to new laboratories along with its within‐ (WLR) and between‐laboratory reproducibility (BLR). The validation study was organized into two independent stages. As demonstrated during the first stage, where three sensitizers and one non‐sensitizer were correctly predicted by all participating laboratories, the EpiSensA was successfully transferred to all three participating laboratories. For Phase I of the second stage, each participating laboratory performed three experiments with an identical set of 15 coded test chemicals resulting in WLR of 93.3%, 93.3%, and 86.7%, respectively. Furthermore, when the results from the 15 test chemicals were combined with those of the additional 12 chemicals tested in Phase II of the second stage, the BLR for 27 test chemicals was 88.9%. Moreover, the predictive capacity among the three laboratories showed 92.6% sensitivity, 63.0% specificity, 82.7% accuracy, and 77.8% balanced accuracy based on murine local lymph node assay (LLNA) results. Overall, this validation study concluded that EpiSensA is easily transferable and sufficiently robust for assessing the skin sensitization potential of chemicals. EpiSensA is an in vitro skin sensitization test method based on gene expression of Rhe. This article presents the results of a formal validation study for assessing its transferability and reliability. The EpiSensA was successfully transferred to three participating laboratories. Furthermore, each laboratory performed three experiments with 15 coded test chemicals resulting in within‐laboratory reproducibility of 86.7 to 93.3%, respectively. Moreover, the between‐laboratory reproducibility for 27 chemicals was 88.9%. Overall, EpiSensA was a sufficiently transferable and robust method. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Do P‐glycoprotein Medications Alter the Risk of Ventriculoperitoneal Shunt in Adults with Hydrocephalus?

Author

Grullon, Jason R., Koutsouras, George W., Onwumere, Nneka F., Lehmann, David F., and Krishnamurthy, Satish

Subjects
HYDROCEPHALUS, RETROSPECTIVE studies, ACQUISITION of data, MEMBRANE glycoproteins, CEREBROSPINAL fluid shunts, TREATMENT effectiveness, COMPARATIVE studies, MEDICAL records, PATIENT safety, CHEMICAL inhibitors, ADULTS
Abstract

Hydrocephalus is a disorder caused by excess fluid accumulation in the brain and results in brain damage with consequent cognitive and physical problems. This condition has no cure; the only treatment is brain surgery. Experimental data indicate that P‐glycoprotein (P‐gp) plays a crucial role in the pathogenesis of hydrocephalus due to its function in clearing macromolecules from the brain. Numerous medications frequently used are classified as P‐gp inducers or inhibitors, and comprehending their effects may aid in attaining improved patient outcomes. Therefore, in this single‐center retrospective study, we examined the risk of the need for ventriculoperitoneal shunt placement over 10 years among 4588 adult patients with hydrocephalus not exposed to any P‐gp inhibitors/inducers or exclusively exposed to either P‐gp inhibitors or inducers. Our analysis shows that patients exposed to P‐gp inhibitors had a 3.2 times higher risk of requiring ventriculoperitoneal shunt surgery (P <.0001). In contrast, the relative risk was not significantly affected (P =.07) among those exposed to P‐gp inducers. Our findings indicate the need for caution when prescribing P‐gp inhibitors to patients with hydrocephalus. Additional studies using larger cohorts are required to confirm whether P‐gp inducers in patients with hydrocephalus can mitigate the risk of ventriculoperitoneal shunt. [ABSTRACT FROM AUTHOR]

Published
2024
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44. The inter‐laboratory validation study of EpiSensA for predicting skin sensitization potential

Author

Mizumachi, Hideyuki, primary, Watanabe, Mika, additional, Ikezumi, Mayu, additional, Kajiwara, Michika, additional, Yasuda, Michiyo, additional, Mizuno, Makoto, additional, Imai, Noriyasu, additional, Sakuma, Megumi, additional, Shibata, Momoko, additional, Watanabe, Shin‐ichi, additional, Motoyama, Junko, additional, Basketter, David, additional, Eskes, Chantra, additional, Hoffmann, Sebastian, additional, Lehmann, David M., additional, Ashikaga, Takao, additional, Sozu, Takashi, additional, Takeyoshi, Masahiro, additional, Suzuki, Sho, additional, Miyazawa, Masaaki, additional, and Kojima, Hajime, additional

Published
2023
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45. Improving sudden cardiac death risk stratification in hypertrophic cardiomyopathy using established clinical variables and genetic information

Author

Amr, Ali, primary, Koelemen, Jan, additional, Reich, Christoph, additional, Sedaghat-Hamedani, Farbod, additional, Kayvanpour, Elham, additional, Haas, Jan, additional, Frese, Karen, additional, Lehmann, David, additional, Katus, Hugo A., additional, Frey, Norbert, additional, and Meder, Benjamin, additional

Published
2023
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47. Towards the invasion of wild and rural forested areas in Gabon (Central Africa) by the Asian tiger mosquito Aedes albopictus: Potential risks from the one health perspective

Author

Obame-Nkoghe, Judicaël, primary, Roiz, David, additional, Ngangue, Marc-Flaubert, additional, Costantini, Carlo, additional, Rahola, Nil, additional, Jiolle, Davy, additional, Lehmann, David, additional, Makaga, Loïc, additional, Ayala, Diego, additional, Kengne, Pierre, additional, and Paupy, Christophe, additional

Published
2023
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48. Globale Verantwortung

Author

Fahrenholz, Simon, primary, Enste, Dominik, additional, Klös, Hans-Peter, additional, Schnitker-v. Wedelstaedt, Jens, additional, Heinemann, Lisa, additional, Vassiliadis, Michael, additional, Claes, Thomas, additional, Lenz, Justus, additional, Huwyler, Sarah, additional, Pies, Ingo, additional, Meckl, Jürgen, additional, Cremer, Georg, additional, Kirchgeorg, Manfred, additional, Meynhardt, Timo, additional, Lehmann, David, additional, and Schneider, Rafaël, additional

Published
2023
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