The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

AI’s role in food safety analysis is equally transformative. Machine learning models trained on spectral, chemical, and ...

Accurately modeling gross primary productivity (GPP) and evapotranspiration (ET) in terrestrial ecosystems is essential for ...

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

A novel machine learning-based algorithm can predict individualized risk of death and complications after PCI, as demonstrated in a new analysis. The Blue Cross Blue Shield of Michigan Cardiovascular ...

Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices ...

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

Along with a warming climate, one of the factors contributing to the trend of more intense forest fires is the way the forests have been managed. The longstanding strategy has been suppression: Put ...