Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30–38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease ...

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

Cellulitis is one of the most common skin infections seen in emergency departments and inpatient wards, yet it remains one of ...

The Family Heart Foundation has published a new study in JACC: Advances demonstrating how its FIND Lp(a) Machine Learning ...

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

An interpretable machine learning model predicted moderate to severe acute kidney injury risk in ICU patients with acute ...

A machine learning model was developed to predict the oxidation resistance of Ti-V-Cr burn-resistant titanium alloy, and the natural logarithm of the parabolic oxidation rate constant ( lnk p ) was ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.

International student mobility has long been described as one of the most globalised flows of people in the modern world, ...

Sandwiched between the electrolyte and electrodes in a lithium-ion battery is a remarkably thin layer of material that strongly dictates battery performance and durability: the interphase. Although ...

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