New molecular framework paves the way for targeted Parkinson’s therapeutic interventions

AI-powered study finds multiple Parkinson’s types

Researchers have used a machine learning algorithm to try to work out why Parkinson's disease patients can respond so differently to treatment.

New molecular framework paves the way for targeted Parkinson’s therapeutic interventions

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 an machine-learning-driven analysis, the team identified two main groups and five subgroups of the disease, marking an important step toward more personalized therapies. The findings were recently published in Nature Communications.

Breakthrough Study Advances Personalized Treatment for Parkinson’s

Leuven, 5 May 2026 – A groundbreaking study spearheaded by researchers from VIB and KU Leuven has unveiled novel insights into Parkinson’s disease by classifying it into distinct molecular subtypes. This pivotal research challenges the traditional perception of Parkinson’s as a single, uniform disease and provides a sophisticated understanding of its biological heterogeneity. Utilizing innovative machine learning methodologies, the team identifi…