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

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

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

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

Objectives Delays in cancer diagnosis for patients with non-specific symptoms (NSSs) lead to poorer outcomes. Rapid Diagnostic Clinics (RDCs) expedite care, but most NSS patients do not have cancer, ...

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

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

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

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...