The world’s leading AI-powered medical search platform.

Mayo Clinic Platform

Launched during the Mayo Clinic Platform Accelerate program

Featured by the New England Journal of Medicine AI

Powering Elsevier’s ClinicalKey AI(Lancet; Cell; Gray’s Anatomy; 2000+ journals)

Our mission is to organize the world’s medical knowledge and make it more useful, open, accessible, and understandable.

OpenEvidence is what we always imagined when we used to talk about someone finally solving medical search.

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.

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

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OpenEvidence is an experimental technology demonstrator. OpenEvidence does not provide medical advice, diagnosis or treatment. User questions and other inputs on OpenEvidence are not covered by HIPAA. It is the responsibility of the user to ensure questions do not contain protected health information (PHI) or any information that violates the privacy of any person.