Biomedical Data Science

  • Princeton researchers map rural U.S. counties most vulnerable to COVID-19

    Thursday, Apr 16, 2020
    by Morgan Kelly, Princeton Environmental Institute

    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.

  • Princeton awards over half-a-million dollars in funding for rapid, novel and actionable COVID-19 research projects

    Friday, Apr 10, 2020
    by Catherine Zandonella, Office of the Dean for Research

    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.

  • New mathematical model can more effectively track epidemics

    Wednesday, Mar 25, 2020
    by John Sullivan, Office of Engineering Communications

    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.

  • Science in the service of humanity: Princeton joins Rutgers, NJIT to advance health-related innovations

    Thursday, Feb 27, 2020
    by Catherine Zandonella, Office of the Dean for Research

    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.

  • Schmidt DataX Fund supports research projects that harness data science to speed up discovery

    Monday, Nov 18, 2019
    by Sharon Adarlo, Center for Statistics and Machine Learning

    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.

  • Artificial intelligence detects a new class of mutations behind autism

    Tuesday, May 28, 2019
    by Steven Schultz, Office of Engineering Communications

    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.

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