Scientists from Toronto’s University Health Network developed an AI algorithm capable of accurately predicting heart failure based on smartwatch data.

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Digital replicas guide surgery and in silico experiments ...

Best Employee Training Platforms For Manufacturing Teams In 2026. Factories are humming again, yet talent is scarce. In the UK alone, 49,000 manufacturing jobs sat vacant in April 2025, a snapshot of ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

While many advocate that oversight of AI analyses of lab data be handled through CLIA, some stakeholders say that FDA should play a role.

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...