Machine learning model predicts missed appointments in primary care clinics
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Jan-2026 02:11 ET (2-Jan-2026 07:11 GMT/UTC)
This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations in primary care practices.
Large-scale, well organized, and open datasets are necessary for primary care–focused artificial intelligence and machine learning (AI/ML) research and development. This article proposes a set of high-level considerations around the data transformation needed to enable the growth of AI/ML applications in primary care.
In a new analysis of the RECOVER-Adult cohort, Mass General Brigham researchers found a two- to three-times higher risk of long COVID in those with social risk factors, including financial hardship, food insecurity, experiences of medical discrimination, and skipped medical care due to cost. Findings are published in Annals of Internal Medicine.
WOODS HOLE, Mass. -- The Marine Biological Laboratory (MBL) today announced a $25 million gift of unrestricted support from Mark Terasaki, an MBL Whitman Scientist and Associate Professor in the University of Connecticut Health Center’s Department of Cell Biology. The gift will provide $5 million annually for the next five years to support core operations and infrastructure for MBL’s education and research programs. “Mark’s gift is the largest private contribution that MBL has received in its 137-year history,” said MBL Board Chairman Bill Huyett. “Beyond reflecting his extraordinary generosity, Mark’s support is notable for its purpose: helping to underwrite the scientific and administrative infrastructure that sustains the excellence of our training and research programs and the impact they deliver. Unrestricted support is invaluable—it allows us to adapt to the rapidly evolving world of basic research and ensure our programs deliver the greatest possible impact.”