Specific Biologics Inc. ("Specific"), a biotechnology company developing industry-leading in vivo genome editing medicines to treat the untreatable, today announced that together with Western ...

In statistical fine-mapping, signals stable across stratified subgroups can capture functionally important loci missed by covariate adjustment approaches, and prioritizing agreement between both ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

A new synthesis finds that common epilepsies are driven by thousands of tiny-effect genetic variants, most still ...

A new Nature Aging study shows that simple blood tests can detect Alzheimer's and frontotemporal dementia with up to 96% accuracy in Latin American populations — genetically diverse groups that have ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

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

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...

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.