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 ...
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 ...
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 boosts predictive healthcare yet struggles with data, ethics and workflow adoption

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

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 ...
Healio

MRI-based clinical prediction model identified risk factors for patellar instability

Please provide your email address to receive an email when new articles are posted on . The Insall-Salvati ratio, tibial tubercle-trochlear groove distance and trochlear depth had the greatest ...
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 ...