Development of disease diagnosis technology based on coattention cross-fusion of multiomics data.

Journal: Analytica chimica acta
Published Date: Mar 7, 2025

Abstract

BACKGROUND: Early diagnosis is vital for increasing the rates of curing diseases and patient survival in medicine. With the advancement of biotechnology, the types of bioomics data are increasing. The integration of multiomics data can provide more comprehensive biological information, thereby achieving more accurate diagnoses than single-omics data can. Nevertheless, current multiomics research is often limited to the intelligent diagnosis of a single disease or a few types of omics data and lacks a multiomics disease diagnosis model that can be widely applied to different diseases. Therefore, developing a model that can effectively utilize multiomics data and accurately diagnose diseases has become an important challenge in medical research.

Authors

  • Mingtao Wu
    School of Computer Science and Technology, Xinjiang University, Urumqi, 830046, China.
  • Chen Chen
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Xuguang Zhou
    School of Software, Xinjiang University, Urumqi, 830046, China.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Yujia Ren
    School of Computer Science and Technology, Xinjiang University, Urumqi, 830046, China.
  • Jin Gu
    MOE Key Laboratory of Bioinformatics, BNRIST Bioinformatics Division, Department of Automation, Tsinghua University.
  • Xiaoyi Lv
    College of Information Science and Engineering, Xinjiang University, Urumqi, China.
  • Cheng Chen
    Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, China.

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