Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, ...

K-Fold cross-validation is popular, but it’s not always the best choice. Learn when K-Fold works, when it can mislead your ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares.

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.

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

Discover how a machine-learning drug toxicity prediction model enhances the predictive power of AI in drug trials, boosting ...

AI brings its own validation challenges. Unlike static assays, machine learning algorithms evolve as they ingest new data, ...

AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...