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

Abstract 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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ryota Jin (Author), Hideki Yoshioka (Author), Hiromi Sato (Author), Akihiro Hisaka (Author)
Format: Book
Published: Wiley, 2024-04-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Connect to this object online.

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available