A vascular digital twin might see a heart problem before a patient shows any symptoms.

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

At Mayo Clinic, cardiologists Peter Noseworthy, M.D., and John Giudicessi, M.D., Ph.D., are uncovering the earliest signs of ...

In a new Northwestern Medicine study, scientists have developed a more precise genetic risk score to determine whether a ...

By uniting three forms of genetic testing, Northwestern researchers can now predict heart rhythm disorders with far greater precision.

Warren Buffett suggests all parents do one thing before they die, whether they have 'modest or staggering wealth' Scientists Studied 'SuperAgers' For 25 Years And Found That They All Have This 1 Habit ...

In pregnant women with sickle cell disease, the risk of developing early-onset preeclampsia can be determined by measuring levels of a protein associated with placental function and development. These ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Introduction: Cardiovascular health is increasingly at risk due to modern lifestyle factors such as obesity, smoking, stress, hypertension, and sedentary behavior. Post-pandemic health practices and ...