Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...

Researchers at the School of Engineering and Applied Sciences have developed a wearable sensor system capable of estimating braking and propulsion forces while running outdoors — a breakthrough that ...

Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart ...

However, Miami just held Bijan Robinson to 25 yards on the ground, which makes backing the Over of Henry's NFL prop total of ...