Machine learning-guided analysis of metabolomic alterations in Parkinson’s disease with comorbid symptoms

This study provides a basis for future investigations aimed at validating these findings and further exploring their potential relevance in clinical research.

Authors

Institutions

Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2026-01-13
DOI
https://doi.org/10.3389/fnagi.2025.1753016
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine learning-guided analysis of metabolomic alterations in Parkinson’s disease with comorbid symptoms

Hao Wang, Jinghui Feng, Xingrao Wu, Jinbiao Li et al.
Frontiers in Aging Neuroscience
Parkinson's Disease Mechanisms and Treatments
article

Machine learning-guided analysis of metabolomic alterations in Parkinson’s disease with comorbid symptoms

Hao Wang, Jinghui Feng, Xingrao Wu, Jinbiao Li, Yanli Wang, Yong Xia, Hongping Lai, Meng Wang, Lin Wang, Ran Sun, Wenxuan Chen
article en

Abstract

This study provides a basis for future investigations aimed at validating these findings and further exploring their potential relevance in clinical research.

Frontiers in Aging NeuroscienceVol. 17
Affiliated Hospital of Jining Medical University (CN), Jining Medical University (CN)
State Administration of Traditional Chinese Medicine of the People's Republic of China, Natural Science Foundation of Shandong Province, Jining Medical University
Reduced inequalities
Openalex Percentile: Top 89%
Parkinson's Disease Mechanisms and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.