Dr. Fei Wang

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to improve care for the complex condition.

Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson’s disease based on the pace at which the disease progresses. 

Treatment for rheumatoid arthritis (RA) has come a long way in recent years. In many cases, a battery of...

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 accurately define the disease and improve diagnosis and treatment. 

The post-COVID syndrome known as long COVID has four major subtypes defined by different clusters of symptoms.

Awards, honors, prizes and achievements for the month of January.

Awards, honors, prizes and achievements for the month of December.

Weill Cornell Medicine and NewYork-Presbyterian investigators have built a machine-learning tool that can predict SARS-CoV-2 infection based on age, gender, race and 27 routine laboratory test results.

Dr. Fei Wang, an assistant professor of healthcare policy and research at Weill Cornell Medicine, received a...