Much progress in the field of Computational Pathology may be attributed to so-called ‘grand challenges’, international competitions that invite researchers in AI to solve clinically relevant problems. These challenges are very attractive for the AI community, because they present a well-defined and relevant problem, and give access to the data required to build a solution as well as give a framework to evaluate the AI performance. In this three part session, of which the second part will be presented by prof Nasir Rajpoot, the concepts of grand challenges are explained, examples of previous challenges are discussed, and the results are shown of two very recent challenges: CONIC and TIGER.
Nasir Rajpoot is Professor of Computational Pathology at the University of Warwick and Honorary Scientist at the Department of Pathology, University Hospitals Coventry & Warwickshire (UHCW) NHS Trust. Prof Rajpoot is the founding Director of Tissue Image Analytics (TIA) Centre (previously the TIA lab) at Warwick since 2012 and also co-Director of the recently funded £15m PathLAKE centre of excellence on AI in pathology since Jan 2019. The focus of current research in TIA Centre led by Prof Rajpoot is on AI and machine learning algorithms for the study of histological and multi-omic markers of cancer biology, with applications to early detection of cancer and stratification of cancer patients in terms of recurrence, progression and response to therapy. He has been active in the digital pathology community for almost two decades now and has delivered over 80 invited and keynote talks since 2015 at various national and international events and institutions. He is a Senior Member of IEEE and member of the Association of the Computing Machinery (ACM), the British Association of Cancer Research (BACR), the European Association of Cancer Research (EACR) and the American Society of Clinical Oncology (ASCO).
Prof Rajpoot was recently awarded the Wolfson Fellowship by the UK Royal Society and the Turing Fellowship by the Alan Turing Institute, the UK's national data science institute.