About the work
With this project we proposed an artificial intelligence model (based on deep learning), based solely on magnetic resonance imaging (MRI) raw data, able to predict, at the time of the first demyelinating attack, the probability of developing a first episode of progression independent of relapse activity (PIRA) at the individual level and at each one of the following 10 years. This prognostic model, called Deep PIRA, has been successfully validated in an external cohort and has an eminent translational purpose.
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Title Deep-PIRA: Deep learning to predict progression independent of relapse activity at a first demyelinating event.
With this project we proposed an artificial intelligence model (based on deep learning), based solely on magnetic resonance imaging (MRI) raw data, able to predict, at the time of the first demyelinating attack, the probability of developing a first episode of progression independent of relapse activity (PIRA) at the individual level and at each one of the following 10 years. This prognostic model, called Deep PIRA, has been successfully validated in an external cohort and has an eminent translational purpose.
Work type Software and Database designs
Tags susana otero, carmen tur, mar tintoré, xavier montalban
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Registry info in Safe Creative
Identifier 2602024435905
Entry date Feb 2, 2026, 7:55 AM UTC
License All rights reserved
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All exploitation rights 100.00 %. Holder Fundació Hospital Universitari Vall d’Hebron - Institut de Recerca. Date Feb 2, 2026.
Author 25.00 %. Holder Carmen Tur. Date Feb 2, 2026.
Author 25.00 %. Holder Susana Otero. Date Feb 2, 2026.
Author 25.00 %. Holder Xavier Montalban. Date Feb 2, 2026.
Author 25.00 %. Holder Mar Tintoré. Date Feb 2, 2026.
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Registration: 2602024435905
