News | Population Health Sciences

AIDH Seminar: Building Capacity and Collaborations for Healthcare AI through Datathons

September 14, 2023

The Institute of Artificial Intelligence for Digital Health is excited to host Dr. Mengling Feng, assistant professor at Saw Swee Hock School of Public Health; assistant director of research at Institute for Data Science at National University of Singapore; and senior assistant director of National University Hospital, for a presentation on the use of datathons in healthcare AI projects. The seminar will take place on October 18 at 12PM...

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Dr. Fei Wang Provides Insight on the Use of Artificial Intelligence in Healthcare Diagnostics

August 22, 2023

An article in 360Dx addresses the role of artificial intelligence (AI) in healthcare and details its potential...

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AIDH Seminar: Advancing Health at the Speed of AI

August 18, 2023

The Institute of Artificial Intelligence for Digital Health is excited to host Dr. Hoifung Poon, general manager for Health Futures at Microsoft Research and affiliated professor at the University of Washington Medical School, to present on generative AI for precision health. The seminar will take place on September 21 at 12PM via Zoom.

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AIDH Seminar: Learning to Assess Disease and Health at Your Home

June 27, 2023

The Institute of Artificial Intelligence for Digital Health is excited to host Yuzhe Yang, PhD candidate at the Computer Science & Artificial Intelligence Laboratory at MIT, to present new learning methods in assessing disease and health at home. The seminar will take place in-person at 425 E. 61st St 3rd Fl Conference Room and online via Zoom.

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AIDH Roundtable: ChatGPT in Clinical Medicine

June 15, 2023

The Institute of Artificial Intelligence for Digital Health invites you to attend the second event in our monthly seminar series. We are excited to welcome our esteemed clinical colleagues – Curtis Cole, MD, FACP; Bella Mehta, MD; Edward J.Schenck, MD; Zachary Grinspan, MD, MS; and He Sarina Yang, PhD to discuss the potential of ChatGPT in clinical medicine.

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Announcing Inaugural AIDH Seminar

May 17, 2023

The Institute of Artificial Intelligence for Digital Health is hosting the inaugural event of our monthly seminar series. We are delighted to have Dr. Yi Zhang to introduce the fundamentals and progress of conversational AI technologies, including the ubiquitous ChatGPT, and how they are impacting our daily lives. Dr. Zhang is a professor in computer science and engineering at the University of California, Santa Cruz, and the co-founder of Rul.ai, a low/no code conversational AI platform...

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Study Discovers Long COVID Risk and Symptoms Vary in Different Populations

May 9, 2023

While the peak of the COVID-19 pandemic seems to have passed, the effects of post-COVID conditions on public health remain. A new study led by Weill Cornell Medicine and NewYork-Presbyterian investigators has found that the risk of long COVID and its symptoms present very differently across diverse populations and suggests that further investigation is needed to...

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MoFlow: An Invertible Flow Model for Generating Molecular Graphs

May 9, 2023

At the 2023 NVIDIA GPU Technology Conference (GTC), NVIDIA CEO Jensen Huang shared information about the artificial intelligence (AI) technology affecting every industry. He unveiled ...

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Announcing the Institute of Artificial Intelligence for Digital Health

March 10, 2023

Weill Cornell Medicine (WCM) is proud to announce the launch of the Institute of Artificial Intelligence for Digital Health (AIDH).

The institute will focus on developing groundbreaking artificial intelligence (AI) technologies to build research-ready data and derive crucial insights for advancing evidence-based patient care.

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Photo of person looking at data on laptop

Study Identifies Four Major Subtypes of Long COVID

December 21, 2022

The post-COVID syndrome known as long COVID has four major subtypes defined by different clusters of symptoms, according to a study led by researchers at Weill Cornell Medicine.

The study, published Dec. 1 in Nature Medicine, was the largest of its kind to examine long COVID. The researchers, who represent clinicians and informaticists, used a machine-learning algorithm to spot...

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