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Recent advancements in computational power, machine learning, and artificial intelligence technology have enabled automated evaluation of medical images to generate quantitative diagnostic and prognostic biomarkers. Such objective biomarkers are readily available and have the potential to improve personalized treatment, precision medicine, and patient selection for clinical trials. In this article, we explore the merits of the most recent addition to the "-omics" concept for the broader fielddoi:10.1186/s41199-020-00053-7 pmid:32391171 pmcid:PMC7197186 fatcat:hezshp55wfhwtdlf77xwzn4jn4