A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in ...

Using routinely collected baseline data across 11 registries, prediction of remission showed limited discrimination and was best suited to ruling out remission. Performance was similar for a ...

Not only were CFD sims cheaper than wind tunnel time, but they were also much faster at iterating. Early design work is now ...

In today's hospitals and clinics, a dermatologist may use an artificial intelligence model for classifying skin lesions to ...

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...

Missing data can derail even the most promising analysis, but modern imputation techniques are transforming this challenge into a solvable problem. From straightforward substitutions to advanced ...

As global economic and political volatility intensifies with the ongoing Iran conflict and other geopolitical tensions, the ...

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.