Recent advances in machine learning have significantly enhanced the diagnosis and prediction of thyroid diseases. By integrating diverse algorithms including ensemble methods, neural networks, and ...

Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth of gut bacteria thought to be bad actors. But when researchers used a ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Training an algorithm is an essential part of translating our bodies’ signals into early diagnoses. The human body constantly generates a variety of signals that can be measured from the outside with ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...

In the hunt for new therapeutics for cancer and infectious diseases, lasso peptides prove to be a catch. Their knot-like structures afford these molecules high stability and diverse biological ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...