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Article

Data-driven disease progression model of Parkinson's disease and effect of sex and genetic variants.

CPT: pharmacometrics & systems pharmacology - 1 Apr 2024

Jin Ryota, Yoshioka Hideki, Sato Hiromi, Hisaka Akihiro

Abstract excerpt

As Parkinson's disease (PD) progresses, there are multiple biomarker changes, and sex and genetic variants may influence the rate of progression. Data-driven, long-term disease progression model analysis may provide precise knowledge of the relationships between these risk factors and progression and would allow for the selection of appropriate diagnosis and treatment according to disease progression. To...

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Identifiers

PMID: 38369942
DOI: 10.1002/psp4.13112
PMCID: PMC11015075

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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