Digital and Computational Pathology for Biomarker Discovery

Abstract

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.