Machine learning can accurately predict cardiovascular disease and guide treatment--but models that incorporate social determinants of health better capture risk and outcomes for diverse groups, finds ...

The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...

A research team used machine learning in an optimal experimental design to quickly find the best method for Li-ion battery charging in under 10 minutes, while also maximizing overall battery lifetime.

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

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. Sixty-five years ago, Arthur Samuel went on TV to show the world ...