What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, ...

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 ...

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

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...

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.

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

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

Researchers at Academia Sinica and National Taiwan University Hospital have developed an AI-powered blood test that detects ...

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