An unprecedented amount of patient data is now available from the clinic and the internet of things. Complex computer models have been developed that capture multiscale cardiac physiology in both animal experiments and in human patients. Machine learning methods for combining these models and data have now enabled the development of cardiac digital twins that can track patients through time, and forecast their disease progression and therapy outcomes.
Cardiac digital twins bring together physics and physiology-based modelling; uncertainty quantification tools for calibration and forecasting; methods for simulation acceleration; model analysis; and data forecasts from AI/ML, statistics, and applied mathematics. This Newton Institute Fickle Heart Workshop will build on the 2019 programme (https://www.newton.ac.uk/event/fht/) that focused on uncertainty quantification (UQ), to explore how UQ is being enabled by methodological advances in AI/ML, and how these techniques are being applied in digital twin applications.
|Application Closing Date:||Sunday 4th February 2024|
Registration Package: £121
Student Registration Package: £101
The Registration Package includes admission to all seminars, lunches and refreshments on the days that lectures take place (Monday & Tuesday), and formal dinner, but does not include other meals or accommodation.
Virtual Registration Package: £0
Virtual registration is free, and includes virtual admission to all seminars and does not include physical attendance, meals or accommodation.
Unfortunately we do not have any accommodation to offer so all successful applicants will need to source their own accommodation.
Limited funding support for accommodation may be available. To request this, please select the "accommodation package" in your application.
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Lunch will be served at Churchill College. Attendees will be provided with lunch vouchers for 2 courses and 1 drink. Timings will be confirmed with the timetable.
The Formal Dinner will be held at Queens' College on Monday 3rd June at 19:30.
The event is a tradition for INI participants and gives you a chance to socialise with your colleagues on a more personal level. It is not one to miss!
Participants are automatically included in this event.
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