AI-DRIVEN METAGENOMIC ANALYSIS TO UNCOVER MICROBIAL INFLUENCES ON CANCER DEVELOPMENT
Keywords:
AI-driven metagenomics, cancer microbiome, microbial biomarkers, precision oncology, personalized medicineAbstract
Artificial intelligence (AI)-driven metagenomic analysis is revolutionizing our understanding of the microbial influences on cancer development. The human microbiome, particularly the gut microbiota, plays a pivotal role in modulating immune responses, inflammation, and metabolic pathways, all of which are crucial in cancer initiation and progression. Advances in metagenomic sequencing, combined with AI techniques such as machine learning and deep learning, have facilitated the identification of microbial biomarkers and survival subtypes across diverse cancer types. These approaches provide insights into microbiome-immune interactions and their impact on treatment outcomes, including chemotherapy and immunotherapy efficacy. Despite the transformative potential, challenges persist, such as dataset complexity, biases, and the interpretability of AI models. Addressing these issues through explainable AI and diversified databases will enhance clinical integration and precision oncology. This article highlights the role of AI in unlocking the complex interplay between the microbiome and cancer, paving the way for innovative diagnostics, personalized therapies, and improved patient outcomes.
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