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

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...

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

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 ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

The next major advance in medical AI may lie not in analyzing more data, but in understanding how health data change over time. A recent editorial in Intelligent Medicine argues that dynamics-driven ...

A novel glioblastoma therapy developed by Rosalind Franklin University Helix 51 incubator company UP Oncolytics showed encouraging preclinical results in two studies presented at the American ...

Pancreatic cancer rarely announces itself early. It often grows in deep tissue, causes vague symptoms, and reaches medical ...

You're a tourist in Bangkok, tired of crowded spots. You tell your AI agent to plan a seamless day trip to Chiang Mai. It books a quiet flight, ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...