Integrating Artificial Intelligence and Quantum Computing With Omics Data for Cancer Therapy and Diagnosis Publisher



Bakhshi A ; Bakhshi A ; Bakhshi A ; Hosseine M ; Bakhshi M ; Hasannezhad H ; Rahdar A ; Fossokankeu E ; Pandey S
Source: Intelligent Nanocarriers: AI-Based Tools in Cancer Diagnosis and Therapy Published:2026

Abstract

The intersection of omics with artificial intelligence (AI) and quantum AI (QAI) is revolutionizing cancer therapy and diagnosis, offering unprecedented opportunities for precision oncology. This chapter examines the interplay between multi-omics approaches such as genomics, transcriptomics, proteomics, metabolomics, epigenomics, and AI-driven methodologies to extract clinically significant insights. With a preface to the diversity and complexity of omics data, the overview puts foremost the role of AI in coordinating and analyzing such datasets. Major sections cover AI-enabled multi-omics integration in cancer therapy, with emphasis on advancements in drug discovery, avoidance of therapeutic resistance, and the design of personalized therapeutic approaches. AI in multi-omics-based cancer diagnosis is also covered, with particular emphasis on breakthroughs in early detection, biomarker identification, and prognostic modeling. A dedicated section discusses the revolutionary power of QAI, its applications in maximizing multi-omics data analysis, molecular simulations, and drug development with the aid of quantum algorithms. The chapter further discusses the convergence of AI and omics technologies in precision oncology to showcase how these technologies in conjunction can transform patient care. Finally, the future of this interdisciplinary field is discussed, forecasting challenges, emerging opportunities, and potential breakthroughs. This chapter envisions a more precise, efficient, and patient-centric oncology paradigm driven by the integration of AI and omics technologies. © 2026 Scrivener Publishing LLC.