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BDSLab

BIOMEDICAL DATA SCIENCE LABORATORY

contacto

juanmig@ibime.upv.es

dirección

Camino de Vera, s/n
Edificio 8G, acceso B
46022 Valencia Spain

Capacidades en Habilitadores Tecnológicos

Inteligencia Artificial y Computación

  • Big data analytics technologies (Visual analytics, Real-time analytics, Semantic analysis, Optimization techs, Predictive techs)
  • Effective data processing infrastructures and platforms (Cloud/HPC/Edge Computing)
  • Machine learning technologies (Deep learning, Pattern recognition, Probabilistic computing)
  • Big data analytics technologies (Visual analytics, Real-time analytics, Semantic analysis, Optimization techs, Predictive techs)
  • Effective data processing infrastructures and platforms (Cloud/HPC/Edge Computing)
  • Machine learning technologies (Deep learning, Pattern recognition, Probabilistic computing)

BIOMEDICAL DATA SCIENCE LABORATORY – INSTITUTO ITACA – UNIVERSITAT POLITÈCNICA DE VALÈNCIA

The Biomedical Data Science Lab is an interdisciplinary research group of the ITACA institute at UPV, committed to biomedical computer science since its creation in 2000. With more than 13 years of experience, focuses its research on real problems in the field of biomedical computer by means of advanced pattern recognition and machine learning techniques, modelling, computational prediction and development of tools for biomedical data processing to support biomedical research, health care professionals and their patients.

Habilitadores Tecnológicos

  • En concreto, las líneas en las que BDSLab desarrolla su trabajo son las siguientes:
    Predictive Analytics & CDSS, Multiparametric tissue signatures, Biomedical Data Quality, Service Delivery Intelligence, Big Data in Healthcare.

Proyectos / productos / historias de éxito destacados:

  • MTS4UP
    Multiparametric Tissue Signatures for vascular hábitats in glioblastoma.
    VER PROYECTO
  • DQV
    Evaluación y Rating de la calidad de repositorios de datos biomédicos (DQV). Software registrado.
  • CROWDHEALTH
    Proyecto Europeo en el que participados desarrollando modelos predictivos de mortalidad.
    VER PROYECTO

Activos disponibles: Infraestructuras y equipamiento:

  • Laboratorio de Data Science.
  • Cluster de computación de la UPV.
  • Servidores del instituto ITACA.