Latest News
BIDS has welcomed several new faculty, fellows, and staff to our team since October 2024.
- December 13, 2024Source: NeurIPS
Yale and Mila Researchers at NeurIPS present Trajectory Flow Matching (TFM), a scalable and stable method for training Neural SDEs that improves clinical time series modeling and uncertainty prediction.
- October 21, 2024
Yale BIDS faculty, staff, and students will have a strong presence at the AMIA 2024 Annual Symposium this November in San Francisco, CA.
- June 18, 2024
Yale Emergency Medicine shone brightly at SAEM24, earning numerous awards and delivering over 50 diverse presentations, highlighting their significant contributions to academic emergency medicine.
- March 26, 2024
A research team led by Ambrose Wong, MD, MSEd, MHS, and Rebekah Heckmann, MD, MPH, MPA, from the Department of Emergency Medicine at Yale School of Medicine, has been approved for a $3.7 million R01 award by the National Institute of Mental Health to address the management of agitation symptoms during mental health crises.
- March 08, 2024
For the third year in a row, the Department of Emergency Medicine (DEM) at the Yale School of Medicine ranked first in the nation in research dollars awarded by the National Institutes of Health (NIH) in 2023, as tabulated by the Blue Ridge Institute for Medical Research.
- January 08, 2024
A new study shows that deep learning, a type of artificial intelligence that uses large amounts of data to process information, can improve the detection of patients with asthma and COPD who are at increased risk for multiple hospitalizations.
- January 08, 2024Source: Yale Medicine
Doctors discuss the pros and cons of using artificial intelligence for medical queries.
- November 13, 2023
Deborah Levy, MD, MPH, Lecturer in the Section of Biomedical Informatics and Data Science, received a leadership award for outstanding volunteer service advancing the vision, mission, and goals of AMIA 25x5 to reduce clinician documentation burden.
- November 10, 2023Source: YaleNews
Yale researchers find that physicians are more likely to prescribe life-saving opioid use treatments if they see their colleagues do so.