Science Daily

Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease

Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Insurance Insider

Machine learning in insurance: Transforming risk management and customer experience

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
Hindustan Times

Artificial Intelligence and machine learning in credit risk assessment

The provision of credit is a critical driver of economic growth. However, despite robust regulations and strong fundamentals, the Indian economy suffers from an acute credit gap. A good proxy for this ...
BMJ

576 FO27 – Evaluation of a machine learning models to assess postural orientation errors during a single-leg squat

Background Measures of postural orientation (i.e., the ability to align body segments in relation to each other) are needed because undesirable postural orientation is a potential risk factor for ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...