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

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

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

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

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

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

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 ...

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 ...

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

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

EDB Postgres® AI (EDB PG AI) follows this capacity-first approach with its open data warehouse environment, WarehousePG. With ...

“Psychologists have found that people who feel more connected to a future self can make better (choices and) feel happier in ...