Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning.

Saved in:
Bibliographic Details
Title: Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning.
Authors: Gebre RK; Department of Radiology, Mayo Clinic, Rochester, MN, USA. gebre.robelkebede@mayo.edu., Raghavan S; Department of Radiology, Mayo Clinic, Rochester, MN, USA., De Tora MEJ; Department of Radiology, Mayo Clinic, Rochester, MN, USA., Fought AJ; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., Reid RI; Department of Information Technology, Mayo Clinic, Rochester, MN, USA., Low PA; Department of Neurology, Mayo Clinic, Rochester, MN, USA., Singer W; Department of Neurology, Mayo Clinic, Rochester, MN, USA. Singer.Wolfgang@mayo.edu., Vemuri P; Department of Radiology, Mayo Clinic, Rochester, MN, USA. Vemuri.Prashanthi@mayo.edu.
Source: Scientific reports [Sci Rep] 2026 Mar 30; Vol. 16 (1). Date of Electronic Publication: 2026 Mar 30.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-45949-5