A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

This study develops an ML-assisted approach for accelerating the discovery of HER electrocatalysts in multi-principal element ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...

Researchers have created a groundbreaking physics-informed machine-learning model that can run molecular simulations for ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out of place with our traditional row homes that have been here for a hundred ...