This overview highlights challenges and improvements in artificial intelligence and multi-omics applications in cancer studies.
AI-based multi-omics research has brought lots of outcomes and improvements in biological science, especially in cancer research and clinics. However, these cutting-edge techniques are inevitably facing lots of challenges. To clearly illustrate the advances and challenges in this interdisciplinary field, an updated overview of AI and multi-omics applications in cancer studies and an exploration of current paradigms of AI & omics in cancer research are lacking. Here we explore this question in three different aspects: application field, algorithms, and application paradigms of AI and multi-omics for cancer. This research brings out a high-resolution, well-structured landscape of AI and omics for cancer by summarizing reviews and recent related papers, and finally indicates the future direction of AI-powered multi-omics cancer study and research gaps that need to be explored.
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H Zhang (2025) studied this question.
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