A pain-informed model identified risk factors for clinically significant nausea in patients undergoing metabolic bariatric surgery.

New research reveals a model to predict chronic immune thrombocytopenia in children at diagnosis. Learn how it could guide ...

For those unafraid of equations, What Are the Odds? is a practical, insightful guide to thinking like a statistician.

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

Filtration study shows strong leachable clearance and predictive modeling for safer biologics manufacturing processes.

Read more about AI brings new hope to Africa’s health crisis; skills shortages slow real-world impact on Devdiscourse ...

AI-powered analytics are redefining baseball strategy, player evaluation, and fantasy baseball decision-making, linking advanced Statcast data with machine learning models to project performance, ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Phase 1 Dose Escalation Underway at Six Leading U.S. Oncology Centers; MYC Overexpression and CDKN2A/B Deletion Identified as ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...