Zobrazeno 1 - 10
of 676
pro vyhledávání: '"Daniel A. Rubin"'
Autor:
Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract A major barrier to deploying healthcare AI is trustworthiness. One form of trustworthiness is a model’s robustness across subgroups: while models may exhibit expert-level performance on aggregate metrics, they often rely on non-causal feat
Externí odkaz:
https://doaj.org/article/1fd90123b45c4a549e735c5d951c7690
Autor:
Christine A. Eckhardt, Haoqi Sun, Preeti Malik, Syed Quadri, Marcos Santana Firme, Daniel K. Jones, Meike vanSleuwen, Aayushee Jain, Ziwei Fan, Jin Jing, Wendong Ge, Husain H. Danish, Caron A. Jacobson, Daniel B. Rubin, Eyal Y. Kimchi, Sydney S. Cash, Matthew J. Frigault, Jong Woo Lee, Jorg Dietrich, M. Brandon Westover
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 10, Iss 10, Pp 1776-1789 (2023)
Abstract Objective To develop an automated, physiologic metric of immune effector cell‐associated neurotoxicity syndrome among patients undergoing chimeric antigen receptor‐T cell therapy. Methods We conducted a retrospective observational cohort
Externí odkaz:
https://doaj.org/article/931eebd756094e1289ead7d2678ffb8b
Autor:
Laurel A. Habel, Stacey E. Alexeeff, Ninah Achacoso, Vignesh A. Arasu, Aimilia Gastounioti, Lawrence Gerstley, Robert J. Klein, Rhea Y. Liang, Jafi A. Lipson, Walter Mankowski, Laurie R. Margolies, Joseph H. Rothstein, Daniel L. Rubin, Li Shen, Adriana Sistig, Xiaoyu Song, Marvella A. Villaseñor, Mark Westley, Alice S. Whittemore, Martin J. Yaffe, Pei Wang, Despina Kontos, Weiva Sieh
Publikováno v:
Breast Cancer Research, Vol 25, Iss 1, Pp 1-9 (2023)
Abstract Background Breast density is strongly associated with breast cancer risk. Fully automated quantitative density assessment methods have recently been developed that could facilitate large-scale studies, although data on associations with long
Externí odkaz:
https://doaj.org/article/c80b8409fd6744bfba5b869ab41e08e7
Autor:
Stephen M. Moore, James D. Quirk, Andrew W. Lassiter, Richard Laforest, Gregory D. Ayers, Cristian T. Badea, Andriy Y. Fedorov, Paul E. Kinahan, Matthew Holbrook, Peder E. Z. Larson, Renuka Sriram, Thomas L. Chenevert, Dariya Malyarenko, John Kurhanewicz, A. McGarry Houghton, Brian D. Ross, Stephen Pickup, James C. Gee, Rong Zhou, Seth T. Gammon, Henry Charles Manning, Raheleh Roudi, Heike E. Daldrup-Link, Michael T. Lewis, Daniel L. Rubin, Thomas E. Yankeelov, Kooresh I. Shoghi
Publikováno v:
Tomography, Vol 9, Iss 3, Pp 995-1009 (2023)
Preclinical imaging is a critical component in translational research with significant complexities in workflow and site differences in deployment. Importantly, the National Cancer Institute’s (NCI) precision medicine initiative emphasizes the use
Externí odkaz:
https://doaj.org/article/c03b45b43e1546d4a22efc4f2e820217
Autor:
Emel Alkim, Heidi Dowst, Julie DiCarlo, Lacey E. Dobrolecki, Anadulce Hernández-Herrera, David A. Hormuth, Yuxing Liao, Apollo McOwiti, Robia Pautler, Mothaffar Rimawi, Ashley Roark, Ramakrishnan Rajaram Srinivasan, Jack Virostko, Bing Zhang, Fei Zheng, Daniel L. Rubin, Thomas E. Yankeelov, Michael T. Lewis
Publikováno v:
Tomography, Vol 9, Iss 2, Pp 810-828 (2023)
Co-clinical trials are the concurrent or sequential evaluation of therapeutics in both patients clinically and patient-derived xenografts (PDX) pre-clinically, in a manner designed to match the pharmacokinetics and pharmacodynamics of the agent(s) us
Externí odkaz:
https://doaj.org/article/e0d87f8b7a8e4f92951123a867d724ef
Autor:
Daniel S. Rubin, Sylvia L. Ranjeva, Jacek K. Urbanek, Marta Karas, Maria Lucia L. Madariaga, Megan Huisingh-Scheetz
Publikováno v:
Digital Biomarkers, Vol 6, Iss 2, Pp 61-70 (2022)
Background: Functional capacity assessment is a critical step in the preoperative evaluation to identify patients at increased risk of cardiac complications and disability after major noncardiac surgery. Smartphones offer the potential to objectively
Externí odkaz:
https://doaj.org/article/fee9c719ba0e4b16a376fc6eed74a749
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Randomized clinical trials are often plagued by selection bias, and expert-selected covariates may insufficiently adjust for confounding factors. Here, the authors develop a framework based on natural language processing to uncover interpretable pote
Externí odkaz:
https://doaj.org/article/9793d56191ac4479ae2041aa5b42617a
Autor:
Jon André Ottesen, Darvin Yi, Elizabeth Tong, Michael Iv, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Atle Bjørnerud, Greg Zaharchuk, Endre Grøvik
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2023)
IntroductionManagement of patients with brain metastases is often based on manual lesion detection and segmentation by an expert reader. This is a time- and labor-intensive process, and to that end, this work proposes an end-to-end deep learning segm
Externí odkaz:
https://doaj.org/article/bec8b73eb0fa4d7f918f7a95d9a3719f
Autor:
Preeti Malik, Jorg Dietrich, M Brandon Westover, Daniel B Rubin, Jong Woo Lee, Yalda Amidi, Christine A Eckhardt, Syed A Quadri, Marcos Santana Firme, Daniel K Jones, Aayushee Jain, Husain H Danish, Caron A Jacobson, Sydney S Cash
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 10, Iss 11 (2022)
Background Immune effector cell-associated neurotoxicity syndrome (ICANS) is a clinical and neuropsychiatric syndrome that can occur days to weeks following administration chimeric antigen receptor (CAR) T-cell therapy. Manifestations of ICANS range
Externí odkaz:
https://doaj.org/article/0540474655184273bcc8558f44d74a38
Autor:
Aalok Patwa, Rikiya Yamashita, Jin Long, Tyler Risom, Michael Angelo, Leeat Keren, Daniel L. Rubin
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
Patwa, Yamashita et al. utilize multiplexed imaging to demonstrate that profiling cell-to-cell interactions in the microenvironment can reveal predictors of recurrence and overall survival in triple-negative breast cancer, especially highlighting the
Externí odkaz:
https://doaj.org/article/accef0e4e5044d8990a14811008e28a2