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Daniel Himmelstein
Researcher at University of Pennsylvania
Publications - 55
Citations - 2806
Daniel Himmelstein is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 12, co-authored 53 publications receiving 1848 citations. Previous affiliations of Daniel Himmelstein include University of California, San Francisco & Dartmouth College.
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Journal ArticleDOI
Opportunities and obstacles for deep learning in biology and medicine.
Travers 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,Michael M. Hoffman,Wei Xie,Gail L. Rosen,Benjamin J. Lengerich,Johnny Israeli,Jack Lanchantin,Stephen Woloszynek,Anne E. Carpenter,Avanti Shrikumar,Jinbo Xu,Evan M. Cofer,Evan M. Cofer,Christopher A. Lavender,Srinivas C. Turaga,Amr Alexandari,Zhiyong Lu,David J. Harris,Dave DeCaprio,Yanjun Qi,Anshul Kundaje,Yifan Peng,Laura K. Wiley,Marwin H. S. Segler,Simina M. Boca,S. Joshua Swamidass,Austin Huang,Anthony Gitter,Anthony Gitter,Casey S. Greene +38 more
TL;DR: It is found that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances have been made on the prior state of the art.
Journal ArticleDOI
Systematic integration of biomedical knowledge prioritizes drugs for repurposing.
Daniel Himmelstein,Antoine Lizee,Christine Hessler,Leo Brueggeman,Leo Brueggeman,Sabrina L Chen,Sabrina L Chen,Dexter Hadley,Ari J. Green,Pouya Khankhanian,Pouya Khankhanian,Sergio E. Baranzini +11 more
TL;DR: In this article, an integrative network encoding knowledge from millions of biomedical studies is used to predict whether a compound treats a disease and improve the economy and success rate of drug approval.
Journal ArticleDOI
Sci-Hub provides access to nearly all scholarly literature.
Daniel Himmelstein,Ariel Rodriguez Romero,Jacob G. Levernier,Thomas A. Munro,Stephen Reid McLaughlin,Bastian Greshake Tzovaras,Casey S. Greene +6 more
TL;DR: For the first time, nearly all scholarly literature is available gratis to anyone with an Internet connection, suggesting the toll access business model may become unsustainable.
Journal ArticleDOI
Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes.
TL;DR: Heterogeneous network edge prediction effectively prioritized genetic associations and provides a powerful new approach for data integration across multiple domains.
Posted ContentDOI
Systematic integration of biomedical knowledge prioritizes drugs for repurposing
Daniel Himmelstein,Antoine Lizee,Christine Hessler,Leo Brueggeman,Sabrina L Chen,Dexter Hadley,Ari J. Green,Pouya Khankhanian,Sergio E. Baranzini +8 more
TL;DR: The ability to computationally predict whether a compound treats a disease would improve the economy and success rate of drug approval, and help prioritize drug repurposing candidates is described.