Powered by OpenAIRE graph
Found an issue? Give us feedback

SignalHF

Development and clinical evaluation of an end-to-end Heart Failure management solution powered by predictive AI
Funder: European CommissionProject code: 101188592 Call for proposal: HORIZON-EIC-2024-ACCELERATOR-02
Funded under: HE | HORIZON-EIC-ACC Funder Contribution: 2,488,360 EUR

SignalHF

Description

Heart failure is a serious chronic medical condition that impairs the heart’s ability to effectively pump blood. Globally, it has a prevalence of 64 million people. Heart failure patients often have to be hospitalised to manage symptoms exacerbation. These hospitalisations are preventable with data-based insights and tailored therapies. But no holistic data platform for heart failure patients exists today. Implicity is set to change this situation with its suite of data-driven insights for managing heart failure. Implicity already provides a heart failure remote monitoring platform with symptoms-based decompensation detection features. In this project, we are developing a second module that focuses on AI-based prediction of heart failure events based on cardiac implantable electronic devices’ data, combined with an end-to-end software suite managing alerts, treatments, patient engagement and workflow optimisation, enabling better care and decreasing the hospitalisation burden.

Data Management Plans
Powered by OpenAIRE graph
Found an issue? Give us feedback

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

All Research products
arrow_drop_down
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_____he::2d2576a3d2796f2eba5c6255f6c28e01&type=result"></script>');
-->
</script>
For further information contact us at helpdesk@openaire.eu

No option selected
arrow_drop_down