A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...

For millions of people living with diabetes, the most feared complication is not the disease itself but the quiet, ...

Machine learning predicted activated clotting time during AF ablation, with deep learning achieving 81% accuracy.

Clinical machine learning is increasingly used for prediction, diagnosis, prognosis, risk stratification, and treatment-related decision support. These ...

Researchers at The University of Manchester, Shandong Jiaotong University and Harbin Engineering University have developed a ...

A proposed machine learning framework for metabolic dysfunction-associated steatotic liver disease may improve personalized risk prediction.

Understanding gene regulation may be the key to interpreting human disease genetics. Genes are regulated in part by stretches ...

Machine-learning models developed by University of Miami researchers used clinical, biomarker and imaging data to identify ...

I once had a set of instructions for ChatGPT to predict horse racing that exceeded 3,000 lines, combining multiple prediction and betting rules.Track conditions, a horse's running style, race flow, ...

Uncover the latest and most impactful research in Water Level Forecasting Using Machine Learning Techniques. Explore pioneering discoveries, insightful ideas and new methods from leading researchers ...