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Each month, we invite a different healthcare and data expert to share their experience with us.
Upcoming seminars
Check out the 'events' page for a full list of upcoming seminars. These are usually hosted virtually on the last Wednesday of each month, between 3 and 4 pm.
Previous seminars
Click to watch the recordings on Zoom.聽
聽Aldo Faisal, Imperial College London - Towards deployment of the AI Clinician in critical care: Risk, Prediction and Off-Line Learning
Stephanie Hyland, Microsoft Research in Cambridge -聽Predicting near-term circulatory failure in the ICU with machine learning
聽Andrey Kormilitzin, University of Oxford -聽Unreasonable effectiveness of the path signature representations for electronic health records
Tom Lawton and Yan Jia -聽Gaps between theory and the real world: Safety and the AI Clinician
聽Tony Bagnall and Markus L枚ning -聽sktime: a toolkit for machine learning with time series
聽Elizabeth Stoke - The softness of hard data
聽Terry O'Neill, Knowledge Transfer Network
Waty Lilaonitkul and Alireza Mani -聽Interdisciplinary research in network physiology: Lessons from hypoxia聽
Patty Kostkova 鈥撀犫�楾here鈥檚 An App for That鈥�: How digital technologies and social media shape our health
:聽Philip Pearce 鈥撀燤ulti-scale modelling of blood flow in sickle cell disease
: Dirk Husmeier 鈥撀燩arameter estimation and uncertainty quantification in cardiac mechanics
Miquel Aguirre 鈥撀燚ata-Driven Computational Modelling for Cardiovascular Medicine Applications
Payam Barnaghi 鈥撀燫emote Monitoring and Machine Intelligence for Dementia Care聽
:聽Padmanabhan Ramnarayan - High-resolution vital sign measurements from continuous monitoring during paediatric critical care support
Maarten van Smeden - 'Uncertainty in AI'
Ken Li - 'An Explainable AI-driven Method for Real-time Mortality Prediction in Critically Ill Children during Emergency Transports'