Digital and Computational Pathology for Biomarker Discovery

  • Peter HamiltonEmail author
  • Paul O’Reilly
  • Peter Bankhead
  • Esther Abels
  • Manuel Salto-Tellez


Digital pathology is now centre stage in tissue analytics by providing a range of new advanced tools for biomarker research, analysis, discovery and translation. The advantages of digital image analytics in tissue research have been recognized for many years. However, recent advances in high-resolution whole slide scanning, web-enabled multisite collaboration, image analytics, machine learning and imaging informatics are now, for the first time, enabling researchers to accelerate quantitative biomarker discovery and transform the discovery and clinical translation of companion diagnostics for precision therapeutics. This chapter will summarize some of the most important advances in digital pathology and the transformative impact this is having on cancer biomarker discovery and development.


Digital pathology Computational pathology Image analysis Biomarker Precision medicine Tissue microarrays Artificial intelligence Deep learning Algorithms FDA Companion diagnostics 



The opinions expressed in this presentation are solely those of the author or presenters and do not necessarily reflect those of Philips. The information presented herein is not specific to any product of Philips or their intended uses. The information contained herein does not constitute, and should not be construed as, any promotion of Philips products or company policies.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Peter Hamilton
    • 1
    Email author
  • Paul O’Reilly
    • 2
  • Peter Bankhead
    • 2
  • Esther Abels
    • 3
  • Manuel Salto-Tellez
    • 4
  1. 1.Department of Digital PathologyPhilips UKBelfastUK
  2. 2.Belfast Development HubPhilips Digital Pathology SolutionsBelfastUK
  3. 3.Digital Pathology Solutions, Pharma SolutionsPhilips Digital Pathology SolutionsBestThe Netherlands
  4. 4.Northern Ireland Molecular Pathology Laboratory, Centre for Cancer Research, Department of Cell BiologyQueens University BelfastBelfastUK

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