A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

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 ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

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

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...