Predictive AI Thrives, Despite GenAI Stealing The Spotlight

GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Predictive model identifies complications in the first 2 days following mild or moderate traumatic brain injury

A study led by researchers at the Institute for Research in Biomedicine of Lleida (IRBLleida), the University of Lleida (UdL) ...
Frontiers

Explainable Artificial Intelligence in Toxicology: Building Trust in Predictive Models

Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...
eLife

Compressed sensing-based approach identifies modular neural circuitry driving learned pathogen avoidance

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in ...