Modernization of tissue-based, biomarker-led clinical research

Automated staining platforms and digital slide scanners have revolutionized tissue-based biomarker research by providing a powerful platform in which to conduct reproducible, quantitative biomarker-led studies at scale. Use of machine learning and artificial intelligence approaches to analyze these biomarkers enables sensitive, specific and rapid biomarker assessment in situ. In this talk, we will be reviewing the implementation and technical challenges faced in modern tissue-based, biomarker-led research from wet-lab validation to digital assessment. To do so we will review published work from our lab that has utilized automated staining and slide digitization as an aid to clinical research (for research use only. Not for use in diagnostic procedures) in immunohistochemistry, RNA in situ hybridization, multiplex immunofluorescence and artificial intelligence studies. 

 

Learning Objectives

 

For Research Use Only. Not for Use in Diagnostic Procedures