Picture this: you keep checking your blood pressure, but it's always too high. It's a major risk for heart disease, even if you're taking meds. But here’s the thing, some blood pressure meds might not be the best for you. They might not make your blood vessels as flexible as they should be, which can be a big problem. Now, imagine using something called machine learning to figure out which meds work best for you. This way, you can get personalized treatment and keep your heart happy.

High blood pressure, especially when the top number (systolic) is high, is one of the biggest causes of death worldwide. It's a major factor in heart diseases. Even with treatments, many people with high blood pressure don't get it under control.

Blood vessel stiffness, or arterial stiffness, can be measured by something called pulse wave velocity (PWV). If you have stiff blood vessels, it can independently predict heart problems and even death. Different blood pressure meds affect this stiffness differently. But what's not clear is how these effects change based on individual differences.

Selecting the right blood pressure med to reduce blood vessel stiffness is complicated. But machine learning—a type of artificial intelligence—could help. It can analyze lots of data and make better personalized treatment recommendations. This is what a study called RIGIPREV is all about. It uses machine learning to give the best advice on which meds to use.

Can AI Pick the Best Meds for Your Blood Pressure?

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