OpenAI now uses behavioral signals to identify accounts likely belonging to minors and automatically apply content limits, ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

To thrive in 2026 in AI search, generative discovery, and multi-platform behavior, you need systems that learn, react, and ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Abstract: Due to the extensive computational burden of enumeration algorithm employed in finite control set model predictive control (FCS-MPC) for multilevel converters, this article proposes a ...

AI and automation in safety-net systems can reduce readmissions and protect revenue, though isolating effects from other changes is challenging. Pharmacogenetic test coverage varies widely among US ...

Heng et al. apply a multi-omics approach combining analyses of energy metabolism, immune cell composition, and plasma proteomics. They reveal altered energy metabolism and immune profiles, alongside ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

A novel algorithm showed 93% accuracy in predicting risk for poststroke pneumonia in a new study, with tracheostomy status, aspiration, cough frequency, malnutrition, and cognitive impairment ...