My company, Kickfurther, has carved out a niche by connecting businesses in need of funding for their retail inventory with buyers of that inventory. A key component of this business model is the ...

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 ...

Researchers used advanced machine learning to increase the accuracy of a national cardiovascular risk calculator while preserving its interpretability and original risk associations. Risk calculators ...

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major ...

Bedsores - also known as pressure injuries - are the fastest rising hospital-acquired condition, according to the U.S. Agency for Healthcare Research in Quality, and as a result have become the second ...

The financial services industry stands at the intersection of technological innovation and regulatory complexity, where advanced data analytics and machine learning capabilities are reshaping ...

Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...

Machine learning models have potential for early identification of patients with metabolic dysfunction-associated steatotic liver disease (MASLD) who are at risk of hepatocellular carcinoma. Machine ...

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through personalized risk stratification.

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).