Health-tech companies are designing models that identify patients at risk of developing cancer, and who might need more screening or preventive care.

A groundbreaking NLP algorithm accurately identifies precancerous gastric and esophageal conditions from EHRs, enhancing early detection and personalized patient care.

Preparing cancer patients for difficult decisions is an oncologist's job. They don't always remember to do it, however. At the University of Pennsylvania Health System, doctors are nudged to talk ...

Founding team includes biochemistry Nobel Laureates and world-leading AI experts Proprietary AI technology transforms untapped microbial genetic data into actionable insights for drug development and ...

Researchers have introduced an algorithm based on deep learning that can predict the effects of rare genetic variants. The method allows persons with high risk of disease to be distinguished more ...

Marschall Runge, MD, PhD—the former CEO of Michigan Medicine, Dean of the University of Michigan Medical School, a practicing ...

The 23andMe headquarters in Sunnyvale, California in 2024. Correspondent The genetic testing company 23andMe, which holds the genetic data of 15 million people, declared bankruptcy on Sunday night ...

Artificial intelligence systems require consistent monitoring, experts say. This is a KFF Health News story. Preparing cancer patients for difficult decisions is an oncologist's job. They don't always ...