THE PREDICTIVE MEDICINE GROUP
The Predictive Medicine Group at Harvard Medical School works to develop novel approaches for predicting human health. Our diverse group of researchers, clinicians, mathematicians, computer scientists and biologists develop advanced predictive models for a wide range of applications, including disease risk prediction, predictive pharmacovigilance, predictive health system dynamics and real-time public health surveillance.
RESEARCH HIGHLIGHTS
Suicide Prediction
Suicide is one of the ten leading causes of death in the United States. PredMed researchers have developed advanced predictive models able to identify between one third and one half of all suicide attempts on average three years before they occur, enabling life-saving interventions and care.
Prediction of Patient Placement
PredMed researchers have developed real-time models that can accurately predict which patients will be admitted to the hospital from the ED, moments after their arrival at the ED. Proactively and intelligently managing the flow of patients into the Emergency Department provides hospitals with shorter wait times and improved outcomes.
Family Histories
PredMed researchers are developing improved approaches to providing more complete, accurate and detailed family histories based on electronic health records of patients and their consenting family members. These improved histories enable better clinical risk prediction and decision-making.
RECENT PUBLICATIONS
Rader B, Upadhyay UD, Sehgal NKR, Reis BY, Brownstein JS, Hswen Y. Estimated Travel Time and Spatial Access to Abortion Facilities in the United States Before and After the Dobbs v. Jackson Women’s Health Decision. JAMA. Published online Nov 1, 2022.
Hayek S, Ben-Shlomo Y, Dagan N, Reis BY, Barda N, Kepten E, Roitman A, Shapira S, Yaron S, Balicer RD, Netzer D, Peretz A. Effectiveness of REGEN-COV antibody combination in preventing severe COVID-19 outcomes. Nat Commun. 2022 Aug 2;13(1):4480.
Cohen-Stavi CJ, Magen O, Barda N, Yaron S, Peretz A, Netzer D, Giaquinto C, Judd A, Leibovici L, Hernán MA, Lipsitch M, Reis BY, Balicer RD, Dagan N. BNT162b2 Vaccine Effectiveness against Omicron in Children 5 to 11 Years of Age. N Engl J Med. 2022 Jun 29.
CONTACT US
Please use the form on the right to get in touch.
Predictive Medicine Group
Computational Health Informatics Program
Boston Children's Hospital
Landmark Center, Fifth floor
401 Park Dr, Boston, MA 02215
FUNDERS
