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Introduction to Digital and Computational Pathology

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Abstract

One of the challenges of modern precision oncology is to deal with increasing complexity of modern tissue diagnostics. The concept of “predictive biomarker” has been firmly established in precision oncology as well as its increasing discovery and clinical utility for different therapies, including novel immunotherapies, its combinations in immune-oncology (IO/IO) or with small molecular respectively advanced therapeutics (IO/non-IO). This might require the analysis of multiplex immunofluorescence of proteins and its associated spatially resolved genetic information even on a single slide, the integration of other multi-omics information including molecular data from next-generation sequencing (NGS), the quantification of 3D-images and the integration of individual patient data from related areas like radiology, liquid biopsies and the entire diagnostic portfolio.

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  • DOI: 10.1007/978-3-030-84087-7_18
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Jasani, B., Huss, R., Taylor, C.R. (2021). Introduction to Digital and Computational Pathology. In: Precision Cancer Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-84087-7_18

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  • DOI: https://doi.org/10.1007/978-3-030-84087-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-84086-0

  • Online ISBN: 978-3-030-84087-7

  • eBook Packages: MedicineMedicine (R0)