Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Learn how AI is transforming predictions of drug-induced liver injury and aiding drug development for safer therapeutics.

A new artificial intelligence model in the United States, SleepFM, has found that patterns in human slumber can be used to ...

A new technique which slashes the time taken to diagnose microbial infections from days to minutes could help save lives and ...

Stanford researchers say a single night in a sleep lab may soon double as a full‑body health scan, with artificial ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Objectives: To develop and validate machine learning models to predict levodopa responsiveness of tremor in Parkinson’s disease (PD) patients. Methods: A total of 197 PD tremor patients underwent ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objective: To construct a prediction model for teicoplanin (TEIC) plasma concentrations through machine learning and deep learning techniques in patients with liver disease using real-world clinical ...

Abstract: This innovative research uses datasets from Kaggle to leverage Machine Learning (ML) techniques to develop a complete unified disease prediction system. With its comprehensive coverage of ...