Machine learning study identifies distinct subtypes of Parkinson's disease An unbiased analysis to group different Parkinson mutations Potential clinical translation and future perspectives
Știință și Tehnologie
Vlaams Instituut voor Biotechnologie May 5 2026 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 . "We discovered
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