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057-The interface of AI and translational cancer research

This academic review explores the integration of artificial intelligence (AI) with multiomics data in translational cancer research, highlighting its applications and future potential. The text discusses how AI methods analyze complex biological datasets from technologies like single-cell and spatial profiling to advance fundamental cancer biology, biomarker discovery, patient stratification, and drug development. It also addresses the current state of AI in clinical care, particularly in imaging and computational pathology, while acknowledging significant challenges. Key hurdles include…

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