Artificial intelligence (AI) is transforming biomedicine by facilitating the thorough analysis of multi-omics data, thereby deepening our grasp of intricate biological systems and the underlying mechanisms of diseases. Our study leverages AI to synthesize diverse omics datasets— including genomics, proteomics, and metabolomics—with the goal of identifying novel therapeutic targets for cancer patients resistant to current treatments. This strategy is designed to enhance the development of personalized medicine and refine treatment approaches, offering new avenues for addressing complex medical challenges.
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