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) ...

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 ...

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 ...

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

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 ...

Discover the impact of digital pathology on drug discovery and biomarker research this International Women’s Day with Dr Amanda Hemmerich.

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

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

Digital replicas guide surgery and in silico experiments ...