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

Abstract Background Fatigue is a prevalent and debilitating symptom of non-communicable diseases (NCDs); however, its biological basis are not well-defined. This exploratory study aimed to identify key biological drivers of fatigue by integrating metabolomic, microbiome, and genetic data from blood...

Full description

Bibliographic Details

Published in:	BMC Medical Informatics and Decision Making
Main Authors:	Yusuke Kobayashi, Naoki Fujiwara, Yuki Murakami, Shoichi Ishida, Sho Kinguchi, Tatsuya Haze, Kengo Azushima, Akira Fujiwara, Hiromichi Wakui, Masayoshi Sakakura, Kei Terayama, Nobuhito Hirawa, Tetsuo Isozaki, Hiroaki Yasuzaki, Hajime Takase, Yuichiro Yano, Kouichi Tamura
Format:	Article
Language:	English
Published:	BMC 2025-06-01
Subjects:	Fatigue Chronic disease Multi-Omics Machine learning
Online Access:	https://doi.org/10.1186/s12911-025-03034-3