Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning

This study provides preliminary insights into the potential involvement of alterations in lipid metabolism, catecholamine biosynthesis disruptions, microbial imbalances, and specific genetic variants in fatigue in patients with NCDs. These findings lay the groundwork for personalized interventions, although further validation and model refinement across diverse populations are needed to enhance the prediction performance and clinical applicability.

Authors

Institutions

Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-06-03
DOI
https://doi.org/10.1186/s12911-025-03034-3
Citations
4
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
4.80

Funders

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

Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning

Akira Fujiwara, Hajime Takase, Shoichi Ishida, Hiromichi Wakui et al.
4 citations
BMC Medical Informatics and Decision Making
Health, Environment, Cognitive Aging
4.80
article

Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning

Akira Fujiwara, Hajime Takase, Shoichi Ishida, Hiromichi Wakui, Yuichiro Yano, Masayoshi Sakakura, Kengo Azushima, Tatsuya Haze, Nobuhito Hirawa, Kouichi Tamura, Hiroaki Yasuzaki, Sho Kinguchi, Kei Terayama, Yusuke Kobayashi, Naoki Fujiwara, Takashi Isozaki, Yuki Murakami
article en
4 citations

Abstract

This study provides preliminary insights into the potential involvement of alterations in lipid metabolism, catecholamine biosynthesis disruptions, microbial imbalances, and specific genetic variants in fatigue in patients with NCDs. These findings lay the groundwork for personalized interventions, although further validation and model refinement across diverse populations are needed to enhance the prediction performance and clinical applicability.

BMC Medical Informatics and Decision MakingVol. 25(1)
Yokohama City University Medical Center (JP), Juntendo University (JP), Yokohama City University Hospital (JP), Naval Hospital Yokosuka Japan (JP), Yokohama City University (JP)
Kanagawa Institute of Industrial Science and Technology
Good health and well-being
Openalex Percentile: Top 5%
Health, Environment, Cognitive Aging
4.80
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.