Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...

In A Nutshell AI tools that track how the body’s molecular networks change over time may detect diseases like cancer, ...