Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

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

Revvity, Inc. RVTY recently announced a collaboration with Eli Lilly and Company to make Eli Lilly’s TuneLab predictive ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...