A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

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

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Imagine a camera that keeps a laser pencil sharp down to a hair’s width—257 nm! New AI trick watches the tiny bright dot and nudges the stage so ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a simple blood-based antioxidant measure can significantly sharpen prediabetes ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...