Harvard's AI Breakthrough Could Help Doctors Choose the Right Cancer Treatment Artificial intelligence is rapidly changing healthcare, and Harvard Medical School has just unveiled one of the most promising breakthroughs in precision medicine. Researchers have developed an AI foundation model called COMPASS that can accurately predict whether a cancer patient is likely to respond to immune checkpoint inhibitor (ICI) therapy, one of the most effective—but also most unpredictabl

Large-scale patient data suggests real-world effects may differ from clinical records Overview A recent analysis used AI to process over 400,000 Reddit posts related to GLP-1 drugs. These drugs are widely used for weight loss and diabetes treatment. The objective was to study patient-reported experiences at scale and identify patterns that may not appear in clinical trial data. Social platforms provide unfiltered feedback, which makes them useful for large observational analy

Artificial intelligence is rapidly transforming healthcare, and recent developments are proving just how powerful it can be. New diagnostic models are now capable of detecting diseases such as cancer and heart conditions at much earlier stages than traditional methods. These systems analyze medical scans, patient history, and biological data with a level of precision that reduces human error and speeds up diagnosis. Hospitals are beginning to integrate these tools into routin