Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Mass General Brigham researchers developed a machine learning model that can evaluate patients’ PPD risk using readily accessible clinical and demographic factors. Findings demonstrating the model’s promising predictive capabilities are published in the American Journal of Psychiatry.

Results from a recent multi-center, randomized, controlled trial demonstrate that testosterone gel does not improve physical function compared to exercise alone in older women recovering from a hip fracture. The STEP-HI study was published in JAMA Open and is the largest such study of testosterone administration to women following a fracture of the hip.

We need to learn our letters before we can learn to read and our numbers before we can learn how to add and subtract. The same principles are true with AI, a team of NYU scientists has shown through laboratory experiments and computational modeling. In their work, researchers found that when recurrent neural networks (RNNs) are first trained on simple cognitive tasks, they are better equipped to handle more difficult and complex ones later on.