Healthcare and Social Services
AISym4MED – Parkinson’s Disease Progression Prediction
Healthcare and Social Services
AISym4MED – Parkinson’s Disease Progression Prediction
Business Case
Create AI models to anticipate progression in advanced Parkinson’s patients.
Objetivos
– Early detection of high-risk cases
– Support therapeutic planning
Use case
Casos de Uso
Infraestructura
On premise;
Tecnologías utilizadas
Tecnologías utilizadas
Datos utilizados
Anonymised patient data from Osakidetza and external clinical databases.
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Recursos utilizados
Multidisciplinary data science team.
Dificultades y aprendizaje
Difficulty accessing sensitive patient data.
KPIs (impacto en el negocio y métricas del modelo)
Early high-risk detection validated in clinical environments.
Financiación
Financiación
Colaboradores
AYESA, FRAUNHOFER, BIOBIZKAIA, OSAKIDETZA, IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDIA, TIGA BILGI TEKNOLOJILERI ANONIM SIRKETI, NOVA ID FCT, , UNIVERSITAT ZURICH, SAIDOT, UNIVERSIDADE DO PORTO,…
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