Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.

A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...

Dr Andreas Weinberger Rosen and Prof Ismail Gögenur discuss their AI-supported decision system for perioperative colorectal ...

Lixplore-cli is a Python CLI tool for researchers. Search papers, filter results, and manage your library from the terminal.

Inside the race to turn one of cell biology’s least understood processes into a new foundation for drug development and ...

Donald Trump’s destruction of the civil service is a tragedy not just for the roughly 300,000 workers who have been discarded ...

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...

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 ...

Multiple Disease Prediction System using Machine Learning. Predicts Parkinson's, Heart Disease, and Diabetes via a web interface powered by Logistic Regression, SVM, KNN, and Stacking Ensemble.

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 ...

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply intelligent clinical decision-making. The study investigates how ...

1 Department of Computer Science, National University of Modern Languages (NUML), Islamabad, Pakistan 2 Department of AI and SW, Gachon University, Seongnam, Republic of Korea Cardiovascular diseases ...