Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

After decades of frustration, machine-learning tools are unlocking a treasure trove of acoustic data for ecologists. A small songbird soars above Ithaca, New York, on a September night. He is one of 4 ...

Objective To (1) develop and evaluate a machine learning model incorporating gait and physical activity to predict medial tibiofemoral cartilage worsening over 2 years in individuals without advanced ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...