Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

AI-powered gene maps reveal the hidden control centers driving Alzheimer’s disease — and point to new hope for treatment.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Global AI In Predictive Toxicology Market size is expected to be worth around USD 4,964.3 Million by 2033 ...

This project implements an advanced Virtual Machine Placement (VMP) optimization system that leverages multi-objective genetic algorithms, machine learning predictions, blockchain technology, and ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

Researchers analyzed clinical data and RNA expression from the peripheral blood of 174 patients with gout and hyperuricemia that had been collected at week 48 of their participation in the STOP Gout ...

Introduction: Venous thromboembolism (VTE) and chronic kidney disease (CKD) are multifactorial disorders characterized by complex genetic and molecular mechanisms. However, their shared genetic ...