Susan Daniel and Gary Whittaker discuss their collaborations and others across Cornell’s campuses that are working to better understand the COVID-19 virus.
COVID-19 presents challenges not only to public health but also to the way our societies function. Social distancing, remote work and businesses closures are changing the way we communicate with each other and posing important questions about how to protect under served populations and overall mental health.
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.
The Cornell Law School First Amendment Clinic, working on behalf of its client, The New York Times, helped secure the release by the Center for Disease Control of previously unseen data that provides the most detailed look yet at nearly 1.5 million American coronavirus patients.
Cornell researchers have developed an automated system that uses machine learning, data analysis and human feedback to automatically verify statistical claims about the new coronavirus.
Pregnant women who had a previous COVID-19 infection and received full vaccination and a booster have the strongest immune protection from the disease – and pass that protection along to their unborn babies, according to a new study.
Participants in the Jacobs Technion-Cornell Institute at Cornell Tech’s Runway Startup Postdoc Program presented projects aimed at coping with coronavirus at a virtual demonstration April 1.
A computational tool will greatly benefit our understanding of the SARS-COV-2 virus and the development of drugs that block sites where the virus binds with human proteins.
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.
