The development, interpretation, and validation of AI models as key considerations for their integration and analysis are discussed, and practical suggestions for improving the reliability and biological relevance of AI-driven discoveries are provided.
Abstract
Multi-omics technologies, coupled with AI technologies, have the potential to enable the systematic investigation of complex cancer microbiome biology by uncovering informative patterns and associations across complementary datasets. Here, we review existing and emerging cancer microbiome data, discuss the development, interpretation, and validation of AI models as key considerations for their integration and analysis, and provide practical suggestions for improving the reliability and biological relevance of AI-driven discoveries. We further highlight the opportunities and challenges of translating these discoveries into clinical practice, emphasizing strategies to bridge the gap between research-oriented models and clinical implementations.
Current evidence linking the microbiome-gut-brain axis to glioma development, progression, and treatment response is summarized, highlighting findings from human studies, preclinical models, and recent mechanistic investigations.
Oscar Alcantar, A. Dono, Angel Bueno et al.· Hematology/Oncology Clinics...· 0 citations
Schizophrenia is widely recognized as a multifactorial disorder involving interactions among the central nervous system, immune system, metabolism, and gut microbiome. Mardon et al. highlighted the potential importance of the gut-brain axis in schizophrenia. Building on this perspective, this commentary examines the ne...
Avleen Kaur Bhullar, A. Mardon· Current research in psychiat...· 0 citations
This perspective highlights recent advances in multi-omics microbiome research, outlines key obstacles in data integration and metadata harmonization, and proposes a collaborative roadmap for scalable, FAIR-compliant multi-omics investigations and potentially disruptive Artificial Intelligence advances.
T. Van Den Bossche, Eunice Lazau, Velma T. E. Aho et al.· Nature Communications· 0 citations
Practical considerations for integrating proteomics and metabolomics in pediatric multi-omics research are discussed, including popular code- and web-based tools, and recent examples of multi-omics studies in pediatric cohorts, concluding with current challenges and future outlooks for integrative multi-omics studies.
Andrei M. Matusa, D. Tweddell, Mark J. Daley et al.· Communications Medicine· 0 citations
Tumor-associated microbiomes are integral components of the tumor microenvironment, modulating tumorigenesis and progression through immune and metabolic pathways. Microbiome data are high-dimensional, sparse, and compositional, which limits conventional analytical approaches. Digital intelligence—an umbrella term enco...
Ming-Liang Shao, Lu-Qi Liu, Qi Wang et al.· Frontiers in Oncology· 0 citations
The mutual communication between the human host and its microbiome plays a fundamental role in maintaining metabolic and immunological homeostasis. Disruptions in this delicate ecosystem are heavily linked to severe pathologies like inflammatory bowel disease (IBD), metabolic syndromes, and cancer. Whilst traditional s...
Gayatri Krishna S., Narchikundil Reeja, Shemmy Sadanandan et al.· Frontiers in Microbiomes· 0 citations
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