Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients

  • Shane O’Sullivan University of São Paulo, Faculty of Medicine, Department of Pathology
  • Andreas Holzinger Medical University of Graz, Institute for Medical Informatics/Statistics
  • Dominic Wichmann University Hospital Hamburg Eppendorf, Department of Intensive Care
  • Paulo Hilario Nascimento Saldiva University of São Paulo, Faculty of Medicine, Department of Patholog
  • Mohammed Imran Sajid Wirral University Teaching Hospital, Department of Upper GI Surgery
  • Kurt Zatloukal Medical University of Graz, Institute of Pathology

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Published
2018-03-13
How to Cite
O’Sullivan, S., Holzinger, A., Wichmann, D., Saldiva, P. H., Sajid, M., & Zatloukal, K. (2018). Virtual autopsy: Machine Learning and Artificial Intelligence provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients. Autopsy and Case Reports, 8(1), e2018003. https://doi.org/10.4322/acr.2018.003
Section
Letters to the Editor