Role of artificial intelligence in integrated analysis of multi-omics and imaging data in cancer research

Abstract excerpt

In recent years, machine learning and deep learning-based approaches, two sub-fields of artificial intelligence, have emerged as key components in biomedical data analyses (1-5). They can be applied to image segmentation, identifying insertion/deletion mutations, protein alignments, and so on. Several studies have integrated pathological image data with genomics data. Yuan et al. have quantitatively analyzed...

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