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Biomedical Data Science and Engineering

The Biomedical Data Science and Engineering group aims to research and apply computational methods to all kinds of problems in biomedical contexts, especially focused on Artificial Intelligence (AI), covering every machine learning technique, as well as any type of data, from images to natural language. The group has a transversal approach, seeking active collaboration with the rest of the Institute's groups and other external actors, and working with a direct involvement with the Data Science Unit (DSU) to facilitate the transfer of results to clinical practice and innovation in products and services.

2024 ACTIVITY INDICATORS

  • 1 European public competitive project led by: Tech Connect (HE)
  • 2 public competitive projects: FECYT and UAH
  • 1 private project led
  • 2 thesis
  • Evaluators of scientific articles and individual applications of research personnel in different entities: 2 PI
  • Members of editorial committees: 2 researchers

Milestones

  • Start-up of the European public competitive project TechConnect-101177251 (HE) "Assessing and Strengthening Human-Tech Skill Complementarity in the Digital Landscape" of the HORIZON-CL2-2024- TRANSFORMATIONS-01-11 call. 
  • Start of the public competitive project TRITON-DMP (MDG23-11625) "Selection, testing and implementation of tools for the management of data plans and research data catalogs" (FECYT).
  • Inclusion in the group of 3 expert researchers in biomedical signal of the UAH and an expert researcher in anonymization for the Central Support Unit "Data Science" of the IRYCIS.
  • Inclusion of the research group in the list of the Z-inspection network of Trusted AI, to evaluate the reliability of real-life AI systems and applications.
  • First results of the MISSION IRYICIS 2030 project for oral cancer detection with AI with the Maxillofacial Surgery Service (intramural action).

Networks and alliances