About OpenEvidence
Launched during the Mayo Clinic Platform Accelerate program, featured by the New England Journal of Medicine AI, and powering Elsevier’s ClinicalKey AI (Lancet; Cell; Gray's Anatomy; 2000+ journals), OpenEvidence is the world's leading medical AI.
Information overload is an extreme challenge in medicine.
The amount of medical research published annually is doubling every 5 years.[1] Such a rate of change makes it nearly impossible for the world's physicians, medical researchers, and healthcare professionals to monitor and understand all the latest research literature and clinical evidence relevant to their work.
To tame the medical information firehose, we built OpenEvidence, an artificial intelligence system to aggregate, synthesize, and visualize clinically relevant evidence in understandable, accessible formats that can be used to make more evidenced-based decisions and improve patient outcomes.
At OpenEvidence, our mission is to organize the world's medical knowledge and make it more useful, open, accessible, and understandable.
Team
Daniel Nadler
Harvard University Ph.D.
Founded Kensho Technologies, the most valuable A.I. acquisition in history (beating the previous record held by DeepMind)
Zachary Ziegler
Harvard University Ph.D. Candidate
Worked with Alexander Rush
Jonas Wulff
MIT Post-Doc
MPI for Intelligent Systems Ph.D.
Worked with Antonio Torralba
Micah Smith
MIT Ph.D.
Worked with Kalyan Veeramachaneni
Evan Hernandez
MIT Ph.D.
Worked with Jacob Andreas
Eric Lehman
MIT Ph.D.
Worked with Peter Szolovits
Jessica Xu
MIT Ph.D.
Worked with Stephen L. Buchwald and Klavs F. Jensen
Fernanda Ferreira
Harvard Medical School Ph.D.
James Esdaile
Harvard University Ph.D.
Kensho Technologies Alum
Helena Hu
MIT Ph.D. Candidate
Working with Ed Boyden
Timothy Ngotiaoco
MIT Ph.D. Candidate
Worked with David Vogan
Andy Yoon
B.S., Computer Science, UCLA
Nicole Liang
M.Eng., Computer Science, Cornell Tech, Cornell University
Ethan Joseph
M.Eng., Computer Science, Cornell Tech, Cornell University
Jagath Jai Kumar
M.S., Computer Science, UMass Amherst
Formerly @ Google
Danny Gelman
B.S., Computer Science, MIT
Oliver Ren
M.Eng., Computer Science, MIT
Stephen Polcyn
B.S.E., Computer Science, Princeton University
Kinan Alsheikh
B.A., Computer Science, Cornell University
Formerly @ Meta
Varun Mangalick
B.S., Computer Science and Mathematics, MIT
Formerly @ Jane Street
Medical Advisors
Dr. Ram Dandillaya, M.D., FACC
Clinical Chief, Cardiology, Cedars-Sinai Medical Center
Dr. Antonio J. Forte, M.D., Ph.D.
Faculty, Mayo Clinic
Dr. Forte leads the Tissue Regeneration and Individualized Biomedical Engineering Laboratory at Mayo Clinic
Dr. Michael Sughrue, M.D.
M.D., Columbia University
Dr. Sughrue has performed over 3000 brain surgeries to date and has published almost 200 peer-reviewed medical publications about brain tumors
Dr. Travis Zack, M.D., Ph.D.
M.D., Ph.D., Harvard University
Oncology Research Fellow, University of California San Francisco
Dr. John J. Lee, M.D.
Faculty, Harvard Medical School
Advisors and Collaborators
Dr. Daniel Kahneman
Nobel Prize Laureate
Professor Emeritus of Psychology at Princeton University
Author of Thinking, Fast and Slow
Alexander Rush
Associate Professor of Computer Science, Cornell University
Prev. Assistant Professor of Computer Science, Harvard University
FAIR Post-Doc; Advisor: Yann LeCunn
MIT Ph.D, Computer Science
Values
Evidence-based
OpenEvidence’s data comes directly from scientific primary sources – high-quality, peer-reviewed studies published in leading medical journals
Independent
Unbiased analysis based on public verifiable information
Open
Free and universally accessible
Complete
All the most rigorous evidence in one place, not cherry-picked studies to support an argument or medical opinion
Up-to-date
Medicine is evolving faster-than-ever and OpenEvidence's living analysis stays up-to-date along with it
Accurate
PhD-level fact-checking and world-class medical review of every article