Workshop at the Isaac Newton Institute on uncertainty quantification in cardiac modeling: The Fickle Heart

Workshop at the Isaac Newton Institute on uncertainty quantification in cardiac modeling: The Fickle Heart
13th May 2019 to 7th June 2019, Cambridge University
Organizers: Steven Niederer (King's College London); Helen Byrne (University of Oxford); Colleen Clancy (UC Davis); Richard Clayton (University of Sheffield); Gary Mirams (University of Nottingham); Ian Vernon (Durham University)
https://www.newton.ac.uk/event/fht

 

Workshop Theme:

The heart is an electromechanical pump, where contraction is initiated and synchronised by a propagating wave of electrical excitation. The function of the heart can be modelled by systems of coupled and nonlinear differential equations, constrained by conservation laws. These models are multi-scale, ranging from representations of electrical activation and force generation in a single cell up to models solved on an anatomical mesh that represent the heart of an individual patient. There are a wide range of potential applications that include assessing the cardiac safety of new drugs, understanding the basic mechanisms of heart rhythm disorders, and providing guidance for clinical procedures on an individual patient. A major obstacle to progress is that the present generation of cardiac models do not take into account the natural variability of real cells and organs, and are difficult to calibrate from the noisy and incomplete images and data that are typically available in the clinical setting.

 

Deadline for applications: 3rd March 2019

FHT programme participants DO NOT need to apply, programme participants with visit dates during FHTW01 will automatically be added to the attendee list.

Please note members of Cambridge University are welcome to turn up and sign in as a non-registered attendee on the day(s) during the workshop and attend the lecture(s). Please note that we cannot provide you with any support including name badge, meals or accommodation.

In addition to visiting the INI, there are multiple ways in which you can participate remotely.

Apply now

Meeting Date: 
Wednesday, June 5, 2019 to Friday, June 7, 2019
Meeting Location: 
Cambridge University or remotely
Abstract Deadline: 
Sunday, March 3, 2019
Registration Deadline: 
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