Hwee Kuan Lee - APOLLO: AI driven national platform for CT coronary angiography for clinical and industrial applications
| Dates: | 14 July 2023 |
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| Times: | 14:00 - 15:00 |
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| What is it: | Seminar |
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| Organiser: | Department of Mathematics |
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| Who is it for: | University staff, External researchers, Current University students |
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| Speaker: | Hwee Kuan Lee |
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Join us for this seminar by Hwee Kuan Lee (A*STAR Bioinformatics Institute, Singapore) as part of the North West Seminar Series in Mathematical Biology and Data Science. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/
The talk will be hosted in person in the Zochonis building, Lecture Theatre D. For those who cannot attend in person the talk will also be streamed via zoom, please contact carl.whitfield@manchester.ac.uk or igor.chernyavsky@manchester.ac.uk for the zoom link, or sign up to the mailing list.
Abstract: Coronary artery disease (CAD) is a leading cause of cardiac mortality in Singapore and worldwide, with 19% of deaths in Singapore due to CAD. Numbers of CAD cases are growing rapidly due to ageing and higher prevalence of diabetes. Computed Tomography Coronary Angiography (CTCA) is the first-line investigator for CAD. Current practice of CAD report generation requires 3-6 hours of a CT specialist’s time for annotating the scans, and with inter-observer variability of 20%. These problems have strongly and severely constrained the effectiveness of CTCA as a diagnostic and research tool. In this seminar, I will report on our platform enhanced by AI technologies for simultaneous reporting of calcium scores, plaque quantification, stenosis and epicardial adipose tissues. It is a “one-stop” platform spanning from diagnosis to clinical, management and prognosis, and aids in predicting therapy response in the pharmaceutical industries.
To subscribe to the mailing list for this event series, please send an e-mail with the phrase “subscribe math-lifesci-seminar” in the message body to listserv@listserv.manchester.ac.uk
Speaker
Hwee Kuan Lee
Role: Investigator
Organisation: A*STAR Bioinformatics Institute
Biography: Hwee Kuan Lee’s current research work involves the development of Artificial Intelligence (AI) research for clinical and biological applications. His laboratory focuses on diverse research activities, including more basic AI centric research as well as AI applications. Clinical application areas include, diagnostics in cancers, spatial omics, cardiology, dermatology and interventional radiology. In the area of biology, Hwee Kuan’s laboratory works on the development of AI in protein science and drug discovery. Hwee Kuan’s primary appointment is as the Deputy Director for Training and Talent development in the Bioinformatics Institute. He also holds multiple adjunct and joint appointments in the local universities and other research institutions.
Travel and Contact Information
Find event
Lecture Theatre D
Zochonis Building
Manchester
