A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Objective Macrophage activation syndrome (MAS), a subtype of secondary haemophagocytic lymphohistiocytosis (HLH), is a rare ...

Researchers in China combined findings from MRI scans with clinical features to create a new predictive model for nonmuscle-invasive bladder cancer recurrence.

Sepsis is one of the most life-threatening medical emergencies worldwide, claiming millions of lives each year. It occurs ...

New study develops accurate predictive model identifying key factors for anaemia in elderly patients, aiding early detection ...

Platforms like Stats Edge and GRID Insights have made such systems commercially viable, combining player and team data, projection engines, real-time match tracking, and predictive features. GRID ...

Cloudera’s AMPs bring an end-to-end framework for building, deploying, and monitoring business-ready AI/ML applications ...

Chest pain is among the most common reasons for presentation to the emergency department, yet identifying patients at the ...

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

According to a new study, elevated levels of growth differentiation factor-15 (GDF-15), a marker of oxidative stress and ...

The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud ...