To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...

Technion researchers part of international study that validates fast, accessible alternative to genomic tests using routine ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

EMMI Predict: TerraBind, a Universal Potency Model Operating at The Scale Necessary For Small Molecule Drug Development Terray’s platform is where Experimentation Meets Machine Intelligence (EMMI) to ...

Researchers have developed the IFAM model, which integrates diverse functional genomic annotations to enhance prediction accuracy for complex traits. Tested on datasets from humans, livestock, and ...

Using a form of machine learning called self-supervised learning, Mass General Brigham researchers have created a new predictive artificial intelligence model, which they say could help generate ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road. A new artificial intelligence model developed by Stanford Medicine ...

A machine learning model can accurately predict an individual’s risk of developing hepatocellular carcinoma (HCC) using routine clinical data, according to a new study. The findings point to a ...