As the cruise industry accelerates its journey toward net zero, the challenge is no longer simply one of compliance but of ...

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

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 ...

The Sun’ll come out tomorrow, and you no longer have to bet your bottom dollar to be sure of it. Google’s DeepMind team released its latest weather prediction model this week, which outperforms a ...

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

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

Predictive analytics is the study of historical data to make future predictions. It is a data analysis method that uses past information to identify patterns and make educated guesses about future ...