CHDS’ Soroush Saghafian, his lab, the Public Impact Analytics Science Lab (PIAS-Lab), and the Dana Farber Cancer Institute recently received a grant from the Department of Defense (DOD) to use artificial intelligence (AI) to analyze genomic data in the identification of optimum treatment for individual melanoma patients.
In a study recently published in Lancet Public Health, CHDS faculty Nicolas Menzies and first author Mathilda Regan, a Postdoctoral Fellow in the Department of Global Health and Population, used a sequential multiple mediation approach to examine risk factors underlying racial-ethnic disparities in tuberculosis (TB) outcomes in the United States.
Beate Jahn, PhD, long term visitor and CHDS collaborator, was named 2024 President-elect of the Society for Medical Decision Making in the recent election for 2024 – 2025 Officers and Trustees.
CHDS’ Stéphane Verguet and colleagues recently published in Nature Medicine that reducing preventable deaths from major noncommunicable diseases (NCDs) and injuries around the world would come with substantial economic savings.
In a recent study, CHDS’ Nicolas Menzies and colleagues used mathematical modelling to quantify the potential health impact and cost-savings for a hypothetical pan-tuberculosis regimen, compared to currently available treatment options.
