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Development and clinical evaluation of an end-to-end Heart Failure management solution powered by predictive AI

Project description

Heart failure care with AI and data

Heart failure is a widespread and serious condition that impacts the heart’s ability to pump blood. Affecting 64 million people worldwide, it often leads to recurrent hospitalisations due to worsening symptoms. These hospital admissions could be prevented with timely intervention and personalised care, but currently, no comprehensive data platform exists to manage heart failure patients holistically. The lack of such a system results in missed opportunities for early detection. The EIC-funded SignalHF project will introduce an AI-driven module that predicts heart failure events using data from cardiac implantable devices. It will also provide a complete software suite to manage alerts, treatments, patient engagement, and workflows, helping reduce hospitalisations and improve patient outcomes.

Objective

Heart failure is a serious chronic medical condition that impairs the hearts 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.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-EIC-ACC - HORIZON EIC Accelerator

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Call for proposal

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(opens in new window) HORIZON-EIC-2024-ACCELERATOR-02

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Coordinator

IMPLICITY
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 488 359,50
Address
15 rue des Halles
75001 Paris
France

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Ile-de-France Ile-de-France Paris
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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