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Artificial Intelligence in Detecting and Diagnosing Microbiome-Driven Cancer: An Emerging Paradigm
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Author(s): Abhiram Kumar (Birla Institute of Technology and Sciences, Pilani, India), Anjali Rai (Jagannath University, Chaksu, India), Shivang Shukla (Jagannath University, Chaksu, India), Chhavi Dhiman (Birla Institute of Technology and Sciences, Pilani, India)and Kumar Pranav Narayan (Birla Institute of Technology and Sciences, Pilani, India)
Copyright: 2026
Pages: 50
Source title:
Enhancing Autonomous and Adaptive Systems With AI and IoT
Source Author(s)/Editor(s): Ben Othman Soufiene (King Faisal University, Saudi Arabia)
DOI: 10.4018/979-8-3373-3146-1.ch012
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Abstract
This chapter aim to explore transformative role of artificial intelligence (AI) in detecting and diagnosis of cancer, addressing critical gaps in early detection, diagnosis, personalized treatment, and improved patient outcomes. AI based algorithms, including machine learning and deep learning, are increasingly utilized to analysed complex microbiome data, identify cancer-associated signature, and predict therapeutics response. Moreover, we elucidate how AI facilitates the integration of multi-omics data (genomics, transcriptomics and metabolomics) with microbiome profiles, enhancing our understanding of cancer pathogenesis and progression. It also examines the application of AI in developing non-invasive diagnostic tools using microbiome biomarkers for various cancer, such as colorectal, lung, and breast cancer. Furthermore, the chapter addresses the challenges and opportunities in leveraging AI for microbiome-based caner immunotherapy. Conclusively, by highlighting future directions and the potential of AI revolutionize cancer care through microbiome-based precision medicine.
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