Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dave Decaprio"'
Autor:
Heming Xing, Paul D McDonagh, Jadwiga Bienkowska, Tanya Cashorali, Karl Runge, Robert E Miller, Dave Decaprio, Bruce Church, Ronenn Roubenoff, Iya G Khalil, John Carulli
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 3, p e1001105 (2011)
Tumor necrosis factor α (TNF-α) is a key regulator of inflammation and rheumatoid arthritis (RA). TNF-α blocker therapies can be very effective for a substantial number of patients, but fail to work in one third of patients who show no or minimal
Externí odkaz:
https://doaj.org/article/d80bf7a0804f4a0aad4ebd11b36730c2
Algorithms play an increasingly prevalent role in healthcare, and are used to target interventions, reward performance, and distribute resources, including funding. Yet it is widely recognized that many algorithms used today may inadvertently encode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57b0a83588f345dad27077a61ba5e496
https://doi.org/10.1101/2022.09.29.22280537
https://doi.org/10.1101/2022.09.29.22280537
Autor:
Dave DeCaprio, Joseph Gartner, Carol J. McCall, Thadeus Burgess, Kristian Garcia, Sarthak Kothari, Shaayaan Sayed
Publikováno v:
Journal of Medical Artificial Intelligence. 3:15-15
COVID-19 is an acute respiratory disease that has been classified as a pandemic by the World Health Organization. Information regarding this particular disease is limited, however, it is known to have high mortality rates, particularly among individu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bcf7ef31ea83438b9bfb289071c978e
https://doi.org/10.21037/jmai-20-47
https://doi.org/10.21037/jmai-20-47
Autor:
Travers Ching, S. Joshua Swamidass, Anne E. Carpenter, Michael M. Hoffman, Gregory P. Way, Dave DeCaprio, Benjamin J. Lengerich, Avanti Shrikumar, Johnny Israeli, Zhiyong Lu, Austin Huang, Amr Alexandari, Christopher A. Lavender, Anthony Gitter, Enrico Ferrero, Jack Lanchantin, Evan M. Cofer, Brett K. Beaulieu-Jones, Wei Xie, Michael Zietz, Laura K. Wiley, Anshul Kundaje, Paul-Michael Agapow, Yifan Peng, Stephen Woloszynek, Jinbo Xu, Srinivas C. Turaga, Yanjun Qi, Brian T. Do, Marwin H. S. Segler, Alexandr A. Kalinin, Gail L. Rosen, Simina M. Boca, David J. Harris, Daniel Himmelstein, Casey S. Greene
Publikováno v:
Journal of the Royal Society Interface
Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4d89592086434bb1a23d99876afb43e
https://doi.org/10.1098/rsif.2017.0387
https://doi.org/10.1098/rsif.2017.0387