Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found.
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.
In an effort to unify the rapidly expanding set of academic activities investigating artificial intelligence (AI), Weill Cornell Medicine is launching a new AI to Advance Medicine initiative.
At the Cornell Health AI Hackathon, student teams spent an intense weekend racing to build some of them.
Over 200 scientists, startup founders and partners in government and industry gathered at Uris Auditorium...
As robots enter hospitals and care facilities, questions remain about whether they actually make care easier for the people who give and receive it.
Events
Tuesday, April 28, 2026
10:30am EDT
Monday, May 11, 2026
12:00pm to 1:00pm EDT
Wednesday, May 20, 2026
2:00pm to 3:00pm EDT
Wednesday, May 27, 2026
9:00am to 5:00pm EDT
Friday, May 29, 2026 9:00 AM - Sunday May 31, 2026 5 :00 PM EDT
Monday, June 1, 2026 12:00 PM - Tuesday, June 2, 2026 12:00 AM EDT
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.
Cornell AI Initiative
The Cornell AI Initiative advances university-wide leadership in artificial intelligence research and education, while responsibly applying AI across classrooms, labs and operations to support Cornell’s public mission.
Contact Us
Have questions or want to collaborate? Reach out to our team to learn more about AI initiatives, partnerships, or upcoming opportunities in health data innovation.