Description
Stroke, a major cause of global death and long-term disability, arises from a combination of factors including cardiovascular conditions such as atrial fibrillation (AF), modifiable lifestyle factors such as diet and physical activity, and a spectrum of genetic and molecular determinants. Within the AI-SPRINT EU project, we have created a technology designed for continuous monitoring of stroke risk to aid in prevention, leveraging artificial intelligence (AI) and High Performance Computing (HPC) to tackle this significant health issue.
This technology utilizes electrocardiogram (ECG) data collected from smartwatches or other ECG devices and incorporates lifestyle information via a mobile app, addressing the first two dimensions of stroke risk (AF and lifestyle). This initial phase has successfully demonstrated the viability and market potential of this approach through dedicated pilot studies. Building on this foundation, the project is poised to embark on a pioneering endeavor to incorporate the third critical dimension of stroke risk: genetic and molecular biomarkers.
In collaboration with Sant Pau Hospital in Barcelona, we are refining and enhancing the technology's predictive capabilities by integrating stroke multi-omics data.In this project, we will perform the major steps towards the valorization of our technology, including but not limited to business plan development, IPR protection, a thorough market analysis and initial customer attraction, and ultimately transferring of the product to a spinoff company.
The spinoff creation will follow an already started roadmap guided by the BSC technology transfer office.By advancing to market deployment, following a comprehensive and clear regulatory roadmap, we strive to pioneer advancements in preventive stroke care, fostering widespread adoption and creating economic and social impact.
