A notable trend we have observed is the increasing preference for multi-modal and multi-omics studies, indicating the versatility of deep learning in handling and integrating diverse data types to provide a more holistic view of cancer survival.
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Deep Learning Techniques with Genomic Data in Cancer Prognosis: A Comprehensive Review of the 2021-2023 Literature.
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Transfer learning techniques have been gaining popularity in recent years, with an increasing trend towards their application in various fields, such as computer vision, natural language processing, and bioinformatics.