Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs.

Journal: Frontiers in microbiology
Published Date: Jan 27, 2025

Abstract

BACKGROUND: The presence of microbes within healthy human internal organs still remains under question. Our study endeavors to discern microbial signatures within normal human internal tissues using data from the Genotype-Tissue Expression (GTEx) consortium. Machine learning (ML) models were developed to classify each tissue type based solely on microbial profiles, with the identification of tissue-specific microbial signatures suggesting the presence of distinct microbial communities inside tissues.

Authors

  • Anargyros Skoulakis
    DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
  • Giorgos Skoufos
    DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
  • Armen Ovsepian
    DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
  • Artemis G Hatzigeorgiou
    DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals