Technology Networks

Machine Learning Model Detects ALS Up to a Decade Before Symptoms Emerge

A new study combining multiomics approaches with machine learning has identified plasma protein changes that may allow for ...
News-Medical.Net on MSN

Study points toward earlier and more accurate detection of ALS

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...
Devdiscourse

AI-enhanced sensor networks strengthen pollution mapping and public health action

Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...
EurekAlert!

Multi-omics machine learning can detect ALS 10 years before symptom appears

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...
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 ...
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), ...

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 ...
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 ...