Innostroke develops AI model to predict stroke risk using mobile devices

Supercomputing and Stroke Prevention: A Step Towards Personalized Medicine

• The BSC presents the project Innostroke: new technology aimed at transforming stroke prevention, one of the leading causes of death and disability worldwide, through artificial intelligence
• Innostroke’s technology represents an interdisciplinary collaboration between the Computer Science and Life Sciences departments.
• The Innostroke project is funded by the Plan de Recuperación, Transformación y Resiliencia under the National Strategy for Artificial Intelligence to boost the transfer of this new technology of the BSC and bring it to the market.

Within the scope of Digital Health and Personalized Medicine, the Innostroke’s project technology developed by BSC researchers focuses on using digital tools and artificial intelligence to deliver more efficient, precise, and personalized healthcare. Three main objectives drive this initiative: preventing and monitoring strokes, applying artificial intelligence in personalized medicine, and developing digital health platforms specifically tailored for hospital environments.

The development of this technology began within the framework of the European research project AI-SPRINT. This technology leverages electrocardiogram (ECG) data collected from wearable devices such as smartwatches and integrates lifestyle information through a mobile app. In addition to this information, which addresses the first two types of stroke risk factors, Innostroke will incorporate the third risk dimension: genetic and molecular biomarkers.

“By using advanced artificial intelligence technology and high-performance computing (HPC), we can offer continuous, more precise risk monitoring, representing a major advance in stroke prevention,” states Daniele Lezzi, BSC researcher in the Computer Science department and a developer of the technology.

This progress will not only enable effective stroke risk monitoring but also enhanced prediction and prevention of neurovascular diseases through AI-based solutions and multi-omics data. Such data is an integrated set of biological data from multiple levels of molecular analysis within an organism, giving scientists a detailed, comprehensive view of an organism’s biological functioning. “We are collaborating with Israel Fernandez, principal investigator at the stroke pharmacogenomics and genetics group at the Sant Pau Hospital Research Institute, to improve our predictive capabilities by incorporating genetic and molecular biomarkers. This multifaceted approach allows us to provide proactive, personalized medical care, improving patients’ quality of life,” explains Davide Cirillo, BSC researcher in the Life Sciences department and an expert in personalized medicine.

Thanks to new funding from the Plan de Recuperación, Transformación y Resiliencia under the National Strategy for Artificial Intelligence, Innostroke will not only bring numerous innovations, it will also move closer to the market by facilitating knowledge transfer and contributing to the potential formation of a future BSC spin-off. This approach will enable an effective entry into the sector, ensuring that Innostroke reaches healthcare professionals and users and maximizes its impact on stroke prevention. Additionally, the potential to apply this technology to similar conditions and/or other neuro and cardiovascular diseases will be explored, encouraging technological innovation generated by the BSC.