A county-by-county analysis of the United States by Princeton University researchers suggests that rural counties with high populations of people over 60 and limited access to health care facilities could eventually be among the hardest hit by the coronavirus pandemic (COVID-19) that has so far killed more than 100,000 people worldwide.
Biomedical Data Science
- Thursday, Apr 16, 2020
- Monday, Apr 13, 2020
The National Science Foundation has awarded emergency grants to two teams of Princeton researchers developing ways to better track and contain pandemics including COVID-19.
- Friday, Apr 10, 2020
With the aim of accelerating solutions to the challenges of the COVID-19 pandemic, Princeton has awarded University funding for seven new faculty-led research initiatives with strong potential for impact.
The funding enables faculty and their teams to address crucial questions in biomedical, health-related and fundamental science, as well as policy, social and economic topics. Projects will receive funding of up to $100,000.
- Wednesday, Mar 25, 2020
As COVID-19 spreads worldwide, leaders are relying on mathematical models to make public health and economic decisions.
A new model developed by Princeton and Carnegie Mellon researchers improves tracking of epidemics by accounting for mutations in diseases. Now, the researchers are working to apply their model to allow leaders to evaluate the effects of countermeasures to epidemics before they deploy them.
- Thursday, Feb 27, 2020
Princeton faculty and student researchers make many discoveries that have the potential to address cancer, infectious disease, autism and other development disorders, and other medical, behavioral and health challenges.
Now, a collaboration with Rutgers University and the New Jersey Institute of Technology is making it easier and faster for Princeton's medical and health-related research to reach patients and the community.
- Wednesday, Feb 5, 2020
Using sophisticated algorithms to explore regions of the genome whose roles in cancer have been largely uncharted, an international team of researchers has opened the door to a new understanding of the disease’s genetic origins.
- Monday, Nov 18, 2019
Nine data-driven research projects have won funding from Princeton University’s Schmidt DataX Fund, which aims to spread and deepen the use of artificial intelligence and machine learning across campus to accelerate discovery.
In February, the University announced the new fund, which was made possible through a major gift from Schmidt Futures.
- Thursday, Jul 11, 2019
- Monday, Jun 10, 2019
- Tuesday, May 28, 2019
Many mutations in DNA that contribute to disease are not in actual genes but instead lie in the 99% of the genome once considered "junk." Even though scientists have recently come to understand that these vast stretches of DNA do in fact play critical roles, deciphering these effects on a wide scale has been impossible until now.