MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

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

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...