Machine learning reveals two main Parkinson's types and five subgroups

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, helping explain why a single treatment does not work for all patients. Using ...
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 ...
ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
Frontiers

Artificial Intelligence Machine Based Learning Application and Large Database Analyses in Care of Renal Cell Carcinoma Patients

Generative Artificial Intelligence (AI) and Machine based learning platforms as well as analyses of large databases represent a fast-moving area of ...
European Medical Journal

MALDI Imaging Advances Rare Ampullary Cancer Diagnosis

Matrix assisted laser desorption ionisation imaging combined with machine learning may improve rare ampullary cancer ...
EDN

BrainChip delivers new approach to machine learning with neuromorphic SoC

BrainChip Holdings Ltd. Claims that it’s the first company to deliver a spiking neural network (SNN) architecture to market. The company will begin sampling its new neuromorphic system-on-a-chip (SoC) ...