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.
Search for projects
Only competitive projects.
European/International projects
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TechConnect: Assessing and Strengthening Human-Tech Skill Complementarity in the Digital Landscape
- Principal Investigator
- MIGUEL ÁNGEL SICILIA URBÁN, MARÍA ELENA GARCÍA BARRIOCANAL
- Call
- HORIZON-CL2-2024-TRANSFORMATIONS-01-11
- Code
- 101177251
- Start year
- 2024
- End year
- 2027
- Funding body
- UNIÓN EUROPEA
R&D Projects
-
TRITON-DMP: Selección, prueba e implantación de herramientas para la gestión de planes de datos y catálogos de datos de investigación
- Principal Investigator
- MIGUEL ÁNGEL SICILIA URBÁN
- Call
- 2023.MARÍA DE GUZMAN
- Code
- 2023/0252
- Start year
- 2024
- End year
- 2025
- Funding body
- FUNDACIÓN ESPAÑOLA PARA LA CIENCIA Y LA TECNOLOGÍA (FECYT)