BSC participates in a consortium to detect early diseases caused by ageing through Artificial Intelligence

20 September 2022

The public-private consortium, made up of 15 partner organisations, has obtained the largest amount of funding among the projects presented, with an endowment of 12.5 million euros.

The project, called AI4HealthyAging, is part of the Artificial Intelligence R&D Missions 2021 program, subsidized by European Next Generation funds.

The Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC–CNS) is one of the 15 organisations that make up a public-private consortium that will work on the design and development of an intelligent solution that will allow early detection and rapid action on neurological, motor, and degenerative diseases derived from ageing.

The project, called AI4HealthyAging, is part of the Artificial Intelligence R&D Missions 2021 program of the Spanish Ministry of Economic Affairs and Digital Transformation, and of the Digital Spain 2025 agenda and the National Artificial Intelligence Strategy. It will be financed by the European Union through ‘Next Generation’ EU funds and has a budget of 12.5 million euros.

Due to the intelligent system, an early prognosis will be made during the monitoring of patients with heart failure and stroke, thanks to the design and construction of Artificial Intelligence (AI) algorithms. One of the challenges that faces the consortium is the cumulative comorbidity burden and complex clinical management.

This AI system will support decision-making for elderly patients with heart failure and/or stroke. Other diseases such as sarcopenia, Parkinson’s, or hearing loss, among others, will also be analyzed as part of the project.

The consortium, led by Capgemini, is made up of a total of 15 organisations and institutions representing the industrial and healthcare sector, including, besides of BSC, Instituto Tecnológico de Aragón, Instituto Cajal (CSIC), Instituto Aragonés de Ciencias de la Salud, Instituto de Investigación Sanitaria Aragón, Universitat Politècnica de Catalunya · BarcelonaTech (UPC), Universitat de València, Cruz Roja Española, Fundación Andaluza para la Investigación y Gestión del Conocimiento en Otorrinolaringología (FAIGESCO), Bitbrain, Podoactiva, Technaid, INNTEGRA y Starlab.