Opportunities And Obstacles For Deep Learning In Biology And Medicine
Travers H. Ching, Daniel Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way, Enrico Ferrero, Paul‐Michael Agapow, Michael Zietz, Michael M. Hoffman, Wei Xie, GAIL L. ROSEN, Benjamin J. Lengerich, Johnny Israeli, Jack Lanchantin, , Casey S. Greene
Deep learning rivals or beats baselines across imaging, health records, genomics and drug discovery but is not yet transformative; scarce labels, privacy and opacity remain hurdles.
Journal of The Royal Society Interface · Apr 1, 2018Peer-reviewedBioinformatics✦ In-depth digest