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.Â
 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 -Â Predicting near-term circulatory failure in the ICU with machine learning
 Andrey Kormilitzin, University of Oxford - Unreasonable effectiveness of the path signature representations for electronic health records
Tom Lawton and Yan Jia -Â Gaps between theory and the real world: Safety and the AI Clinician
 Tony Bagnall and Markus Löning - sktime: a toolkit for machine learning with time series
 Elizabeth Stoke - The softness of hard data
 Terry O'Neill, Knowledge Transfer Network
Waty Lilaonitkul and Alireza Mani -Â Interdisciplinary research in network physiology: Lessons from hypoxiaÂ
Patty Kostkova – ‘There’s An App for That’: How digital technologies and social media shape our health
: Philip Pearce – Multi-scale modelling of blood flow in sickle cell disease
: Dirk Husmeier – Parameter estimation and uncertainty quantification in cardiac mechanics
Miquel Aguirre – Data-Driven Computational Modelling for Cardiovascular Medicine Applications
Payam Barnaghi – Remote Monitoring and Machine Intelligence for Dementia CareÂ
:Â 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'