The HELIOS project aims to revolutionize cardiovascular R&D by transforming a cardiac simulation engine (DYNAMO) into a cloud-native «Data-as-a-Service» (DaaS) platform. This platform, called HELIOS, is designed to overcome the «data bottleneck» in medical AI by generating high-fidelity synthetic cardiac data on demand.

HELIOS will function as a «data factory,» enabling the creation of patient-specific cardiac digital twins and massive, parameter-driven synthetic cohorts for AI training and in-silico trials. All data will be delivered in standardized, AI-ready formats. This DaaS model is strategically positioned to accelerate cardiovascular R&D, reduce costs, and provide a virtual testing ground for medical devices, ultimately advancing personalized medicine.

The project leverages the successful outcomes of a prior state-funded project (ESSENCE) and introduces a paradigm shift in personalization based on electrical information, integrating multi-modal data from standard 12-lead ECGs to high-resolution Body Surface Potential Mapping (BSPM). This allows for the creation of digital twins that replicate not just anatomy, but a patient’s specific electrical pathophysiology even in complex arrhythmias like Atrial Fibrillation (AF).

HELIOS will offer unprecedented value through three key applications: AI algorithm training and validation, virtual patient cohort creation for in-silico clinical trials, and support for regulatory and certification processes with reproducible performance data. The project has a clear go-to-market plan, with the primary exploitation route being the licensing of the HELIOS technology to Corify Care SL, a successful spin-off in cardiac mapping. The ultimate goal is to improve the diagnosis and treatment of Atrial Fibrillation, leading to improved health outcomes and democratized access to advanced simulation tools.

Grant PDC2025-165776-I00 funded by MCIN/AEI/10.13039/501100011033