News | Population Health Sciences

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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