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Andrew L. Beam
Researcher at Harvard University
Publications - 94
Citations - 6103
Andrew L. Beam is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 23, co-authored 73 publications receiving 3300 citations. Previous affiliations of Andrew L. Beam include North Carolina State University & Invitrogen.
Papers
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Journal ArticleDOI
Artificial Intelligence in Healthcare
TL;DR: Recent breakthroughs in AI technologies and their biomedical applications are outlined, the challenges for further progress in medical AI systems are identified, and the economic, legal and social implications of AI in healthcare are summarized.
Journal ArticleDOI
Big Data and Machine Learning in Health Care.
Andrew L. Beam,Isaac S. Kohane +1 more
TL;DR: To understand the degree to which a predictive or diagnostic algorithm can be said to be an instance of machine learning requires understanding how much of its structure or parameters were predetermined by humans.
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Adversarial attacks on medical machine learning
Samuel G. Finlayson,John D. Bowers,Joichi Ito,Jonathan L. Zittrain,Andrew L. Beam,Isaac S. Kohane +5 more
TL;DR: Far from discouraging continued innovation with medical machine learning, this work calls for active engagement of medical, technical, legal, and ethical experts in pursuit of efficient, broadly available, and effective health care that machine learning will enable.
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Postsurgical prescriptions for opioid naive patients and association with overdose and misuse: retrospective cohort study.
Gabriel A. Brat,Denis Agniel,Andrew L. Beam,Brian K. Yorkgitis,Mark C. Bicket,Mark L. Homer,Kathe Fox,Daniel B Knecht,Cheryl N. McMahill-Walraven,Nathan Palmer,Isaac S. Kohane +10 more
TL;DR: The data from this study suggest that duration of the prescription rather than dosage is more strongly associated with ultimate misuse in the early postsurgical period, and each refill and week of opioid prescription is associated with a large increase in opioid misuse among opioid naive patients.
Journal ArticleDOI
Zebrafish developmental screening of the ToxCast™ Phase I chemical library.
Stephanie Padilla,D. Corum,Beth Padnos,D.L. Hunter,Andrew L. Beam,Keith A. Houck,Nisha S. Sipes,Nicole Kleinstreuer,Thomas B. Knudsen,David J. Dix,David M. Reif +10 more
TL;DR: The zebrafish embryo screen, by providing an integrated model of the developing vertebrate, compliments the ToxCast assay portfolio and has the potential to provide information relative to overt and organismal toxicity.