OneCareAI applies ECG and molecular biomarkers data with AI and High Performance Computing to silent heart pathologies, preventable causes of cardioembolic stroke.
Cardioembolic stroke is caused by silent cardiac conditions: atrial fibrillation, structural heart disease, arrhythmias, that go completely undetected by conventional check-ups. No symptoms. No warning. Until the stroke happens.
A SaaS platform designed for hospitals that integrates real-time ECG monitoring with genetic, molecular and clinical data, powered by AI and High Performance Computing.
Continuous analysis of ECG signals from patches, sensors and mobile devices. Our AI detects hidden signature patterns that standard readings miss.
We integrate genetic and molecular data with ECG findings - an approach not previously explored in cardioembolic risk detection - to achieve personalised, population-level risk stratification.
AI-generated personalised stroke risk predictions for each patient, delivered to clinicians in an intuitive dashboard that integrates with existing hospital systems (HIS/EHR).
Non-invasive risk classification across entire patient populations using ECG devices and molecular data, enabling proactive prevention at scale.
Developed under EU Medical Device Regulation and the AI Act. GDPR compliant, ISO cybersecurity standards, and CE-mark pathway in progress.
Built on the supercomputing infrastructure of the Barcelona Supercomputing Center. Our cloud-based AI models train on large datasets and integrate seamlessly into any hospital.
A non-invasive, AI-driven workflow that fits naturally into hospital environments and existing routines.
Continuous ECG recordings captured via ECG machines at hospitals, patches, mobile ECG sensors or other non-invasive devices including smartwatches compatible with our platform.
Our models fuse ECG patterns with genetic, molecular and clinical risk factors, identifying hidden cardioembolic signatures invisible to standard analysis.
Each patient receives a dynamic, AI-generated stroke risk score that updates continuously as new data comes in.
The clinical team is alerted in time to start therapies, preventive interventions before the stroke occurs.
The scale of the problem and the potential of early cardioembolic risk detection.
OneCareAI is the commercial spin-off of the Innostroke project, developed by the BSC's AI and distributed computing research groups. Validated in collaboration with leading European hospitals.
Funded by the Spanish Ministry of Digital Transformation & NextGenerationEU (ENIA Strategy 2024)
The Innostroke / OneCareAI platform investigates the unexplored potential of molecular biomarkers combined with non-invasive ECG monitoring to enable personalised, population-scale stroke prevention.
Our prototype has already been successfully tested with reference hospitals, and we are now on the path to EU Medical Device regulatory approval and commercial launch as a SaaS platform for hospital networks.
Scientists, clinicians and engineers from the Barcelona Supercomputing Center and leading European institutions.
Hover over each face to see who's who
We have created collaborations with relevant stakeholders in the stroke prevention field.
"We are convinced that being able to apply AI-SPRINT study to 2 of our patient populations (one affected by rheumatoid arthritis and one affected by systemic vasculitis) who, due to their rheumatic pathology, present an even greater cardiovascular risk than the general population, could give us relevant results."
"Having had the opportunity to collaborate with the Barcelona Supercomputing Center we are highly impressed by the depth of research and innovative approach of OneCareAI. We firmly believe that this project holds great promise for the field of stroke prevention."
"The GeneStroke project is a consortium of research groups who share the same interest in elucidating the genetic markers implicated in stroke. It was established in 2008 and is open to groups from all over Spain. We are very keen to collaborate with OneCareAI for the identification of high risk population through AI models."
"We at Freno al Ictus are very impressed by the outstanding research proposal and the dedication of the Barcelona Supercomputing Center to improve stroke prevention, as well as the interdisciplinary approach proposed, the scientific quality of its members, and the potential of bringing the benefits of edge systems and Artificial Intelligence to stroke healthcare."
Stay up to date with the latest developments from OneCareAI and the Innostroke project.
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