Using AI to prevent blood clots, strokes

Artificial intelligence isn't just transforming technology—it's also changing the future of healthcare.

Researchers from Massachusetts General Hospital and the Broad Institute of MIT and Harvard have developed an AI-powered tool that can predict a person's risk of developing atrial fibrillation (AF), a common heart rhythm disorder that can lead to blood clots and strokes.

Using machine learning, the team analysed electrocardiograms (ECGs) from more than 45,000 patients before validating the algorithm on a further 83,000+ individuals. The AI accurately identified people at risk of developing atrial fibrillation within the next five years, helping clinicians detect the condition earlier and take steps to reduce the risk of stroke.

Early identification could allow doctors to monitor high-risk patients more closely, begin treatment sooner, and even encourage lifestyle changes that may help prevent the condition from developing.

This research highlights the exciting intersection of biotechnology, medicine, and artificial intelligence—showing how data-driven innovation can improve patient care and save lives. It's a great example of the kinds of real-world challenges explored through BIOTech Futures, where emerging technologies are shaping the future of healthcare.

Check out the Harvard article here