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A new artificial intelligence-based method accurately sorts cancer patients into groups that have similar characteristics...

Researchers at Weill Cornell Medicine have received a five-year grant from the National Institute of Diabetes and Digestive and Kidney Diseases to support...

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from...

Latest Events

AI to Advance Medicine - Dean's Lecture Series
February 23, 2026
Feb 23, 2026
12:00 PM - 1:00 PM
12:00 PM

"Creating An AI-Enabled Learning Health System: Now It's Personal"

Sponsored by the Department of Population Health Sciences

As artificial intelligence moves from the realm of theory to the bedside, Dr. Embi's talk explores how we can move beyond the "silos of excellence" to create truly integrated Learning Health Systems that leverage Al to enhance-not replace— human expertise. Drawing on his pioneering work at Vanderbilt University Medical Center and the ADVANCE Center, Dr. Embi's talk will dive into the essential pillars of responsible innovation, from scaling data-driven clinical insights to navigating the complex ethical and regulatory landscape of 21st-century medicine.

Health Tech AI Summit '26
March 2, 2026
Mar 2, 2026
12:00 AM
12:00 AM

Weill Cornell Medicine is partnering with Cornell Tech again this year for the fourth annual edition of this event. With a new name, Health Tech Summit, the event will deliver the same dynamic programming, engaging discussions, and innovative, multidisciplinary audience cultivated over the past three years. Visionary leaders will share their expertise on the potential of AI in healthcare.

 

Robert A. Harrington, M.D., Stephen and Suzanne Weiss Dean, Weill Cornell Medicine, and Provost for Medical Affairs, Cornell University will deliver welcome remarks and moderate a fireside chat with Eric Horvitz, Chief Scientific Officer of Microsoft. Also featured is Robert Min, President and CEO of the Physician Organization and Chair of Radiology, Weill Cornell Medicine.

Education Programs

Applies IT, data science, and human factors to improve healthcare; 12-month option plus capstone with industry partners.

 

Hands-on training in statistics, machine learning, and data science to analyze biomedical and health data; 16-month track.

Two-year dual degree focused on digital health, combining advanced CS with real-world health tech projects and a studio capstone.

 

Interdisciplinary PhD leveraging methods like single-molecule imaging and machine learning to probe biological systems.

Prepares researchers to study determinants of health and healthcare delivery using biostatistics, epidemiology, informatics, and policy.

Graduate training that integrates quantitative tools with biology to study mechanisms across scales.


 

Tri-institutional PhD across Cornell, Weill Cornell Medicine, and MSK, with broad research options and strong publication outcomes.

 

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