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

Project Information

SignalHF

Grant agreement ID: 101188592

DOI 10.3030/101188592

EC signature date 8 December 2024

Start date 1 May 2025

End date 30 April 2027

Funded under

• The European Innovation Council (EIC)

Total cost No data

EU contribution € 2 488 359,50

Coordinated by

IMPLICITY
France

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.

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.

• natural sciences › computer and information sciences › software

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Keywords

• Remote monitoring
• CEID
• Heart Failure
• Digital health

Programme(s)

• HORIZON.3.1 - The European Innovation Council (EIC) Main Programme

Topic(s)

• HORIZON-EIC-2024-ACCELERATOROPEN-01 - EIC Accelerator Open 2024

Call for proposal

HORIZON-EIC-2024-ACCELERATOR-02

Funding Scheme

HORIZON-EIC-ACC - HORIZON EIC Accelerator

Coordinator

IMPLICITY

• Net EU contribution: € 2 488 359,50
• Address: 15 rue des Halles ; 75001 Paris ; France
• 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
• Region: Ile-de-France › Ile-de-France › Paris
• Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
• Total cost: No data