Our genetic heritage is not a blueprint or an algorithm, as many biologists have imagined, but something else entirely.

A new study reveals a shocking jump in “biological age” among Gen-X, Millennials, and Gen-Z—and it might explain the rise in early-onset cancers.

The concept of biological age, distinct from chronological age, is gaining public traction, though often misinterpreted.

Heart failure (HF) remains a pressing health concern, with rising prevalence globally. Subjectivity and ambiguity in the ...

A risk model that combines a mammographic artificial intelligence (AI) risk score with polygenic and clinical risk scores ...

NetraMark Holdings Inc. (the "Company" or "NetraMark") , an artificial intelligence (AI) company that is transforming ...

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of ...

Cancer is one of the leading causes of death and disability, affecting millions of working-age adults and their families each ...

A quantum-inspired AI approach can analyze millions of molecular features from small datasets, improving predictions, ...

We look at power, speed, calories, recovery, fuelling and more to compare a Tour de France rider's efforts to those of an ...

PS, designed entirely by artificial intelligence, passed its first human safety trial at Cambridge — triggering ...

From AI-assisted high-complexity cardiovascular interventions—where digital algorithms pre-simulate intricate surgical workflows, accurately predict intraoperative risks, and tailor personalized ...