A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...

MicroRNAs, whose discovery was recognized with the 2025 Nobel Prize in Physiology or Medicine, are central regulators of gene ...

Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...

Learn how AI is transforming predictions of drug-induced liver injury and aiding drug development for safer therapeutics.

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Sports predictions no longer live in isolation. What was once a private hunch scribbled on a napkin or debated among close ...