Machine learning (ML) has become a go-to tool in hospitals for predicting clinical risks. But here's a big challenge: these models don't always work as well over time. Why is that? The systems and data these models rely on are constantly changing, which can make the predictions less accurate. This can seriously affect how well hospitals can plan for and prevent clini...

Do you know what could help doctors keep a better eye on women's health in the long run? Surprisingly, it's not just one thing. A study found that three key factors can team up to foretell future health risks. These predictors aren't just for any woman, but specifically for those who are currently healthy. Now, you might wonder what these predictors are. Hint: They'...

Imagine you could predict if someone with chronic liver disease might develop liver cancer using a simple, non-invasive test. That's what researchers set out to do. They focused on a method called vibration-controlled transient elastography (VCTE), which measures liver stiffness to gauge fibrosis. The goal? To create a universal risk score that could forecast hepatoc...