Researchers at Rice University and Baylor College of Medicine have developed a method that pairs engineered nanoparticles with machine learning algorithms to detect trace toxic pollutants in complex ...

The best things in life are supposed to be free, but unlimited arcade games for one cover charge comes pretty close. Recbar ...

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Nairobi — PAC University will host a series of three landmark events in March 2026, bringing together global and regional thought leaders, policymakers, civil society representatives, and hundreds of ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...

PAC-3 MSE Award. A Lockheed Martin spokesperson has confirmed to Defense Daily that the Army on March 6 awarded the company a ...