Cleveland Clinic is reversing type 2 diabetes with AI, not GLP-1s

A recent Cleveland Clinic study used AI to create digital twins of patients' metabolisms—and cured seven in 10 type 2 diabetics.
eLife

Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
IEEE

Predicting Stroke: Advanced Machine Learning Ensemble Techniques

Abstract: Stroke is the main cause of long-term disability and death worldwide; it is a terrible medical condition caused by disrupted blood flow to the brain. This work uses patient health and ...
IEEE

Enhancing Software Defect Prediction Accuracy using Stacking Ensemble Model

Abstract: Software defect prediction is the culmination process in software development industries. Software defect prediction using machine learning (ML) is an increasingly vital approach for ...