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

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

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

Has sports betting changed? Absolutely! Statistics and numerical analysis have completely re-shaped how betting works. In the ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

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

AI has the potential to transform healthcare for the better by freeing up clinicians to refocus on human connection.

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.