Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...

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 ...

Industrial dyes used in textiles, plastics, paper, and cosmetics make wastewater vividly colored and potentially toxic. Many ...

A black box model refers to the level of transparency involved with a very complex computer algorithm. Read on to learn more ...

Google said its HOPE model is built on a new concept called ‘nested learning’, which could help overcome limitations in today ...

When scientists make the thin metal films used in electronics, optics, and quantum technologies, they usually spend months ...

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