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Polytechnic University of Valencia

University

www.bdslab.upv.es/Valencia, Spain
11 profile visits

About

The Biomedical Data Science Lab (BDSLab) is a multidisciplinary research group based at the Universitat Politècnica de València (UPV), Spain. The group is dedicated to developing advanced technologies grounded in data science and artificial intelligence to address real-world challenges in healthcare and biomedicine.

BDSLab brings together experts from various domains—including biomedical engineering, computer science, and clinical research—to design and implement innovative AI-driven solutions that support diagnosis, treatment planning, and clinical decision-making. Key areas of expertise include machine learning, predictive modelling, data quality and variability assessment, multiparametric tissue signatures, decision support systems, and medical imaging analysis.

The lab collaborates closely with hospitals, research institutions, and industry partners across Europe to ensure that its research is clinically relevant and translational. Its projects often span from algorithm development and validation to deployment in clinical environments.

BDSLab operates within the broader ecosystem of the Universitat Politècnica de València, a leading Spanish technical university known for its excellence in engineering, technology, and applied sciences. UPV consistently ranks among the top technological universities in Spain and Europe, fostering innovation through interdisciplinary research and strong collaboration with industry.

Representatives

Senior Researcher

Polytechnic University of Valencia

NCP

Polytechnic University of Valencia

Marketplace (2)

  • Project cooperation

    Digital solution to monitor patients' digital phenotype

    Digital solution that combines a mobile app for users (e.g. patients) and a web-based dashboard (e.g. for service providers)

    • Partner seeks Consortium/Coordinator
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
    • DESTINATION 1: HORIZON-HLTH-2026-01-STAYHLTH-02: Behavioural interventions as primary prevention for Non-Communicable Diseases (NCDs) among young people
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-09: Multisectoral approach to tackle chronic non-communicable diseases: implementation research maximising collaboration and coordination with sectors and in settings beyond the healthcare system (GACD)
    Author

    Senior Researcher at Polytechnic University of Valencia

    Valencia, Spain

  • Project cooperation

    Ethics and technical solutions for AI in healthcare

    At the BDSLab, a set of practical recommendations have been proposed to mitigate key risks and reducing patient harm due to AI in healthcare

    • Partner seeks Consortium/Coordinator
    • DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-15: Scaling up innovation in cardiovascular health
    • DESTINATION 4: HORIZON-HLTH-2026-01-CARE-03: Identifying and addressing low-value care in health and care systems
    • DESTINATION 6: HORIZON-HLTH-2026-01-IND-03: Regulatory science to support translational development of patient-centred health technologies
    • DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
    Author

    Senior Researcher at Polytechnic University of Valencia

    Valencia, Spain