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

A new study of frontier models on Kalshi and Polymarket finds consistent losses, even as early signs suggest more autonomous ...

A preliminary model to improve the prediction of cardiovascular risk in Latin America and the Caribbean was presented at ESC ...

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

Predictive modeling is reshaping how businesses anticipate challenges, seize opportunities, and optimize processes. By leveraging machine learning, ensemble methods, and advanced analytics, ...

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 ...

In celebration of DNA DAY™, A.D.A.M. Innovations Co. (Japanese corporate name Genesis Healthcare Co.) today announced a major update to GeneLife GeneAI Forecast, expanding the service to 15 AI-powered ...

In a world where trust in information is breaking down, prediction markets offer a model for truth discovery backed by ...

Genomic prediction and design require models capable of integrating local sequence features with long-range regulatory dependencies. Nucleotide Transformer v3 (NTv3) is a multi-species genomic ...

The brain predicts the past and learns from prediction errors—unless it's overwhelmed. A little uncertainty is good; a lot is ...