Project description
Digital twins of cardiac tissue representing cell-to-cell connections
Cardiovascular diseases are the leading cause of death globally. Numerical models of heart function are widely used to gain insight, but greater resolution is urgently needed. Representation of individual cardiac cells and their connections will require tremendous computing power. The EU-funded MICROCARD-2 project aims to address this challenge, building on the previous EuroHPC-2019 MICROCARD project and its exascale platform for cardiac electrophysiology simulations supporting cell-by-cell simulations. MICROCARD-2 plans to reduce communication bandwidth, extend its energy-efficient system code for central and graphics processing units to emerging architectures and enable production of realistic tissue meshes for simulations, among others.
Objective
Cardiac function is coordinated by an electric system whose disorders are among the most frequent causes of death and disease. Numerical models of this complex system are mature and widely used, but to match observations in aging and diseased hearts they need to move from a continuum approach to a representation of individual cells and their interconnections. This makes the problem more complex, harder to solve, and four orders of magnitude larger, necessitating exascale computers.
The EuroHPC-2019 MICROCARD project is developing a simulation platform that can meet this challenge, by a joint effort of HPC experts, numerical scientists, biomedical engineers, and biomedical scientists, from academia and industry. Our proposal is to establish a Centre of Excellence that will consolidate and scale up the MICROCARD results enabling digital twins of cardiac tissue.
With a consortium gathering the core partners of MICROCARD, we will further develop MICROCARD's numerical schemes, moving to second-order spatial discretization. Based on MICROCARD results, we will develop mixed-precision preconditioners and data compression to reduce communication bandwidth. The highly successful efforts towards automated compilation of high-level model descriptions into optimized, energy-efficient system code for different CPUs and GPUs will be extended to upcoming architectures. We will continue efforts to robustify parallel remeshing software and add necessary functionality for parallel mesh partitioning and production of realistic synthetic tissue meshes needed for simulations.
The platform will be benchmarked with realistic test cases and be made accessible for a wide range of users with tailored workflows.
The platform will be adaptable to similar biological systems such as nerves, and several of our products such as improved solvers, preconditioners, remeshers, and partitioners will be reusable in a wide range of applications.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Keywords
Programme(s)
- HORIZON.2.4 - Digital, Industry and Space Main Programme
Topic(s)
Call for proposal
(opens in new window) HORIZON-EUROHPC-JU-2023-COE-03
See other projects for this callFunding Scheme
HORIZON-JU-RIA - HORIZON JU Research and Innovation ActionsCoordinator
33000 Bordeaux
France