Accurate prediction of blood glucose level (BGL) has proven to be an effective way to help in type 1 diabetes management. The choice of input, along with the fundamental choice of model structure, is ...

This study investigates the use of machine learning models to predict solubility of rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type. Using a dataset with ...

Background Groin injury remains one of the most prevalent injuries in soccer. Injury prediction challenges sports medicine researchers to provide high injury risk accuracy to mitigate injury incident ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...