The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

A tool that incorporates five predictors helps accurately identify patients with dermatomyositis who have an increased likelihood of concomitant cancer and can be used to help with early detection.

PRA observation The PRA observed that monitoring cycles for AI and ML models are often too infrequent. Some firms monitor ...

An ongoing lawsuit filed against Workday shows that AI risk in hiring is not theoretical, writes Benjamin Shippen of BRG.

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...

In a retrospective study evaluating circulating fatty acid synthase (cFAS) as a biomarker for peripheral artery disease (PAD), ...

Objectives Functional foods have demonstrated potential in preventing gastrointestinal and musculoskeletal (osteo-related) ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

It’s been discovered that a new tool using routine blood tests and a simple online app could help detect tuberculosis (TB) ...

Researchers found that long-term driving behavior can reveal early signs of cognitive decline years before clinical diagnosis.