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Regenerative Medicine Center Utrecht, Utrecht, The Netherlands, AI Technology for Life, Department of Information and Computing Sciences, Department of Biology, Utrecht University, Utrecht, The Netherlands, Department of Metabolic Diseases, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
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Unlocking the black box of multimodal cancer survival prediction, DIMAFx reveals that shared features between histopathology and transcriptomics, like tumor morphology contextualized by estrogen response, are surprisingly predictive.