The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

From designing proteins not found in nature to extending healthy lifespan, Retro Biosciences is applying AI models to advance cellular reprogramming for aging research. The company operates across ...

The first steps into a house are important ones. When it comes to assessing flood risk from hurricanes, first-floor elevation ...

CAMBRIDGE, Mass., ROTTERDAM, Netherlands and SHANGHAI, /PRNewswire/ -- Harbour BioMed (HKEX: 02142), a global ...

Virtual screening methods fall broadly into two categories: ligand- and structure-based. Ligand-based virtual screening doesn’t require a target protein structure, Instead, it leverages known active ...

The artificial intelligence model locates cancer cells faster than prior techniques.

Geisinger has begun an artificial intelligence pilot program to help identify patients at high risk for breast cancer, health ...

NEW YORK, NY / ACCESS Newswire / October 30, 2025 / In the face of growing global concern over the potential use of chemical weapons such as the nerve agent Sarin, Lunai Bioworks Inc. (NASDAQ:LNAI) to ...

New strategies may soon allow scientists to test dark energy theories within our own solar system, linking cosmic-scale physics to local observation. Science advances through a cycle of proposing ...

An artificial intelligence model predicts how brain immune cells react to RNA and DNA nanoparticles, helping scientists design safer and more effective nucleic acid therapies faster.

Eva-Maria Hempe, NVIDIA, says AI collaboration optimizes life science research via routine automation, freeing human experts for complex strategy, ethics, and exploring scarce data.