COVID-19 treatment depends upon disease severity

How individuals, and health care professionals, deal with infection from SARS-CoV-2, the virus that causes COVID-19, varies depending on the severity of the infection.

Why is COVID-19 mild for some, deadly for others?

COVID-19 patients experience a wide range of disease severity. Why do some people get severe and life-threatening illness, while others suffer no symptoms or just mild ones?

Wallflowers could lead to new cancer, heart drugs

Researchers show that the wallflower is an excellent model plant for discovering new cardenolides that could be used to treat heart disease and cancer.

Astronomy virtual meeting taps Kaltenegger for lecture

Lisa Kaltenegger, associate professor in the astronomy department and director of the Carl Sagan Institute, will give the Fred Kavli Plenary Lecture at the American Astronomical Society virtual meeting.

Weill Cornell to use $2M from Citadel in COVID-19 fight

The Partners of Citadel and Citadel Securities have made a $2 million gift to Weill Cornell Medicine to develop new approaches to protect people from COVID-19 and identify new cases of it.

New genomic tools help improve staple crops worldwide

The Genomic and Open-source Breeding Informatics Initiative, operating under an $18.5 million grant from the Bill & Melinda Gates Foundation, is working to develop new plant-breeding tools and genomic databases.

Tracker helps social scientists coordinate COVID-19 response

A research tracker created by Nathan Matias, assistant professor of communication, has helped foster collaboration among social scientists responding to the COVID-19 pandemic.

Weill Cornell doctor creates epidemic modeling tool

Mathematical modeling by Weill Cornell Medicine is helping to guide New York state and New York City leaders as they make decisions that could affect the trajectory of the COVID-19 pandemic.

Algorithm tracker monitors Reddit rankings of COVID posts

A Cornell researcher has created a tool to track the algorithms on Reddit, to inform people how the site is deciding which coronavirus-related posts to recommend to its hundreds of millions of users.