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

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

Theranica, a neuromodulation therapeutics company redefining migraine care through its proprietary Remote Electrical Neuromodulation (REN) technology, today announced peer-reviewed study results ...

In the low-lying wetlands of Bayelsa State, where the Niger Delta meets the Atlantic Ocean through a lattice of rivers, creeks, and swamps, flooding is not an occasional disaster but a recurring way ...

Three machine learning models trained to predict recurrent autoimmune hepatitis after liver transplantation were all outperformed by ordinary logistic regression, which reached an ...

When a brain aneurysm ruptures, blood floods the narrow spaces surrounding the brain, triggering one of the most devastating ...

Thirty-day headache history dominated feature importance; rolling mean severity alone contributed 37.6% and 30-day window features 56.3%, versus 11.1% for prodromal symptom features. Forecast ...

A review published in ENGINEERING Energy systematically evaluates how artificial intelligence is transforming waste plastic pyrolysis. By ...

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

Bengaluru continues to hold its reputation as the data science capital of India, and the Best Data Science Course in Ben ...