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

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

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 ...

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 ...

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 ...

A mouse lying in an imaging system has a small zone that is brightly colored near its hind legs. A much bigger bright zone is present where the mouse’s brain is. Fluorescent nanoparticles used to ...

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 ...

In this study, the ResNeXt101 model framework was established to predict the gene mutation status in lung adenocarcinoma. The model was trained and validated using data from two cohorts: cohort 1, ...

We've been watching temperatures climb, extreme weather events intensify, and ice sheets shrink. Every weather forecast and climate projection relies on incredibly complex computer simulations that ...

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 ...