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ML for Pandemics
As healthcare data are acquired in ever-growing quantities, new classes of AI algorithm are required to help humans understand and model these complex datasets to address the urgent demands of medicine during pandemics such as the recent COVID-19. Datasets can include recordings from millions of patients, whereby it becomes necessary to adopt new approaches to modelling. This seminar will introduce new developments in the rapidly-growing field of (non-imaging) "Clinical AI", demonstrating how data scientists can benefit from having "AI to help train the AI"; that is, machine learning networks involved in the construction of new machine learning networks. It will demonstrate successful projects that have been translated into healthcare practice for the COVID-19 pandemic, and highlight on-going international developments in the field, with examples from collaborative work at the Hong Kong Centre for Cerebro-cardiovascular Engineering.
Professor David Clifton is Professor of Clinical Machine Learning and leads the Computational Health Informatics (CHI) Lab. He is OCC Fellow in AI & ML at Reuben College, a Research Fellow of the Royal Academy of Engineering, Visiting Chair in AI for Health at the University of Manchester, and a Fellow of Fudan University, China. He studied Information Engineering at Oxford's Department of Engineering Science, supervised by Professor Lionel Tarassenko CBE. His research focuses on 'AI for healthcare'.
In 2018, the CHI Lab opened its second site, in Suzhou (China), with support from the Chinese government. In 2019, the Wellcome Trust's first ""Flagship Centre"" was announced, which joins CHI Lab to the Oxford University Clinical Research Unit in Vietnam, focused on AI for healthcare in resource-constrained settings.
He is a Grand Challenge awardee from the UK Engineering and Physical Sciences Research Council, which is an EPSRC Fellowship that provides long-term strategic support for nine ""future leaders in healthcare."" He was joint winner of the inaugural ""Vice-Chancellor's Innovation Prize"", which identifies the best interdisciplinary research across the entirety of the University of Oxford.
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