Shaking up economic early warning systems with an artificial jellyfish algorithm

A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...
Neurology Advisor

Machine Learning Tool Predicts MS Relapse Risk After DMT Discontinuation

A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.
Technology Networks

Biomarkers Identified for MASLD Using Genetics and Machine Learning

Researchers have identified multiple causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD), ...
Devdiscourse

New challenges in securing billions of IoT devices in the AI era

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...
EurekAlert!

Unlocking carbon sequestration in mango orchards with machine learning

The study, titled "Machine Learning Technique for Carbon Sequestration Estimation of Mango Orchards Area Using Sentinel-2 Data," is led by Prof. Sittichai Choosumrong from the Department of Natural ...
News-Medical.Net on MSN

Study identifies key molecular and clinical biomarkers for MASLD

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...