FRIDAY, June 12, 2026 (HealthDay News) -- A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic retinal neurodegeneration (DRN), ...

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...

Robots and AI are running experiments around the clock, from battery chemistry to cancer therapies. But can they be trusted ...

From monsoons to inequality, complexity science offers new ways to understand interconnected systems. Can India overcome its ...

The class of drugs known as DNA Damage Response inhibitors, which work by blocking cancer cells’ ability to repair their own damaged DNA, is expanding rapidly beyond its original anchor, the PARP ...

Researchers from the Institute of Science and Technology Austria (ISTA) together with international collaborators have now combined several methods to shed light on how proteins ‘breathe’ and how some ...

Founded by Ashish Sonkusare, Shailendra Narwade and Vidhi Gaur, eVerse.AI is using AI, IoT, and blockchain to tackle some of dairy farming's biggest challenges. Through smart cattle collars, a ...

An efficient, ready‑to‑use workflow from whole‑slide image to biomarker prediction. STAMP is an end‑to‑end, weakly‑supervised deep‑learning pipeline that helps discover and evaluate candidate ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...