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

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

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

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 ...

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

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

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