Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

In a significant move aimed at strengthening regulatory clarity for cancer related medical technologies, the Central Drugs ...

A machine with a tree growing through it is tested for operation. Opinion: James Talarico might be the antidote to MAGA Christianity Ford CEO Jim Farley said Trump would halve the EV market by ending ...

Decorated by the Skunk Train and towering over 200 feet, the living tree in Fort Bragg and Willits tops a new global ranking. Kristine Hansen is a design, food and drink, and travel writer based in ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...