日本語 EN 中文

2026.05.15

Explainable AI-Driven Identification of Multimodal Biomarkers for Early Prediction of Cognitive Decline

Overview


A research group led by Yamaguchi University investigated the prediction of cognitive status over an 18-month period by applying a two-stage machine learning framework with Explainable AI (XAI) to multimodal data from 98 community-dwelling older adults.※

The study integrated diverse data sources—including blood tests, metabolites (including chiral amino acids), gut microbiota, and physical activity recorded via wearable devices—and utilized SHAP (SHapley Additive exPlanations) analysis to visualize the key predictors.
The findings revealed distinct biological and behavioral patterns at different stages of cognitive decline:Progression from healthy to mild impairment: Associated with renal/metabolic functions, amino acid balance, and variability in physical activity.

Progression to more severe stages: Suggested the involvement of changes in energy metabolism, oxidative stress, and choline pathways.As further validation proceeds, these results are expected to pave the way for low-invasive and highly scalable community-based cognitive screening systems.

※The Ajisu Cohort Study
https://kenkyu.yamaguchi-u.ac.jp/rcasi/yobouigaku.html

RICeD Member
  • Division of Advanced Genome Editing Therapy
  • 　　　Keiji Ohishi (Respiratory Medicine)
  • 　　　Kazuhiro Kimura (Ophthalmology)
  • Division of Systems Medicine and Informatics
  • 　　　Masahiko NakatsAISMECui (AISMEC)
  • 　　　Takeshi Abe (AISMEC)
  • 　　　Takahide Hayano (Systems Bioinformatics)
  • 　　　M. H. Mahbub (Public Health and Preventive Medicine)
  • 　　　Yshiyuki Asai (Systems Bioinformatics)
Paper Infomation
  • Title：Explainable AI-Driven Identification of Multimodal Biomarkers for Early Prediction of Cognitive Decline
  • Journal：MDPI
  • Authors： A. H. M. Fahad, Masahiko Nakatsui, Takeshi Abe, Takahide Hayano, M. H. Mahbub, Ryosuke Hase, Natsu Yamaguchi,
    Yoshihiro Hayakawa, Yusuke Inohana, Yutaka Umakoshi, Ryo Yamaguchi, Ren Kimura, Hisashi Tsujimura, Mitsuharu Matsumoto, Fumiaki Higashijima,Takuya Yoshimoto, Kazuhiro Kimura, Tsunahiko Hirano, Keiji Ohishi, Keiko Doi, Kazuto Matsunaga,
    Tsuyoshi Tanabe and Yoshiyuki Asai
  • doi：10.3390/aimed1020012
Contact
  • ＜Research Inquiries＞
  • Systems Bioinformatics・Professor
  • Director of AISMEC
  • Director, Division of Systems Medicine and Informatics , Research Institute for Cell design Medical Science、Yamaguchi university
  • Pro. Yoshiyuki Asai
  • E-mail: sysbio@ ( followed by yamaguchi-u.ac.jp)　
  • 　
  • ＜Regarding public relations＞
  • Yamaguchi University Research Institute for Cell Design Medical Science (Life Science Support Section, Academic Research Division)
  • TEL: 0836-85-3065
  • E-mail: sh088@ ( followed by yamaguchi-u.ac.jp)

Back