Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

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.

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

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

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

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