Nasir Rajpoot: Computational Pathology for Precision Medicine
Channel: NorthWestBiomathsDataScienceSeminars
Date: 2020-11-25

North West Seminar Series of Mathematical Biology and Data Science 

Monday, 23rd November 2020 (hosted by Mudassar Iqbal) 

https://www.cms.livjm.ac.uk/APMSeminar/

Abstract:
Modern day slide scanners are capable of generating large microscopic resolution images of conventional tissue slides, spurring a revolution in the practice of cellular pathology as a discipline. This development comes at a time when computing capacity and machine learning technologies are peaking, offering a remarkable opportunity to reveal complex cellular patterns in a data-driven manner. With an increasing number of NHS pathology labs being digitised in the UK, there is an explosion in the amount of pathology image data with linked clinical outcomes. This data is a potential goldmine of invaluable information, ripe for deep mining of novel digital histological biomarkers of the ‘state of play’ of complex diseases such as cancer. How can we facilitate the discovery of digital histology biomarkers to further our understanding of cancer, stratify patients into different risk groups and predict the progression and survival of cancer?