DFM Funding Monitor

WILLEM: AI to Reduce Cardiovascular Diseasesbroad

WILLEM: AI to Reduce Cardiovascular Diseases · Horizon Europe grant · 2022-11-01–2025-04-30

EC contribution

€2,500,000

Total cost

€3,596,296

Beneficiaries

1

About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2021-ACCELERATORCHALLENGES-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2021-ACCELERATORCHALLENGES-01-01. CORDIS record →

Objective

WILLEM is the first 100% automated cloud platform for electrocardiogram (ECG) analysis, designed to comprehensively identify and diagnose all types of arrhythmias and predict Cardiovascular Diseases (CVDs) behaviour at 6 months since its detection. WILLEM communicates users and hospitals-in real time through a unique Cloud Platform, integrable with any other eHealth platform as part of the clinical workflow. WILLEM provides the best prospective and labelled ECG database and, as a hardware-agnostic platform, it uses breakthrough Artificial Intelligence (AI) models to transform raw ECG signals from any monitoring device into a medical grade ECG report. Today, WILLEM’s AI classifies 73 arrhythmias of the 288 known cardiac patterns, more than 90% of the cases, and it is the only solution that predicts Atrial Fibrillation. The goal is to classify every arrythmia present in human biology and to predict the 6 most prevalent heart diseases in an automatic and non-supervised way to reduce CVDs.

Beneficiaries (1)

Organisation	Country	Role	EC contribution	SME
IDOVEN 1903 SL	ES	coordinator	€2,500,000	Yes

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