Researchers present a machine learning framework that forecasts individual mental health deterioration using limited, real-world data from wearables and smartphones. This enables personalized early interventions, shifting psychiatry from reactive to proactive care.

Researchers have successfully demonstrated that advanced generative AI (GenAI) models can accurately assess lung adenocarcinoma pathological features with remarkable precision. The comprehensive study shows Claude-3.5-Sonnet achieving 82.3% accuracy in cancer grading, potentially revolutionizing how pathologists diagnose and predict outcomes for lung cancer patients.

A new study in Nature that finds a gene therapy against HIV given at birth can protect breastfeeding babies from infection with a single dose.