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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.

Milestones

  1. Obtaining funding in the Call for aid for the promotion of scientific research of excellence María de Guzmán 2023.
  2. Involvement in ongoing work of the Data Science Unit related to AI and deployment of internal infrastructure.
  3. Involvement in the international network of trustworthy AI laboratories Z-Inspection.
  4. Start of the development of AI models for the early detection of oral cancer within the initiative of the Tissue Engineering and Regenerative Medicine Group in the "Mission IRYCIS 2030" programme.
  5. Participation in the Ingenia IRYCIS-UPM 2023/24 project to facilitate the clinical adoption of algorithms and digital tools, in collaboration with the National Centre for Certification of Health Products.

Remarkable collaboration

The Biomedical Data Science and Engineering group is affiliated with the Z-Inspection® Initiative. It adopts the Z-Inspection® process to the assessment of the trustworthiness of real-life AI systems and applications.

Z-Inspection® is a holistic process used to evaluate the trustworthiness of AI-based technologies at different stages of the AI lifecycle. It focuses, in particular, on the identification and discussion of ethical issues and tensions through the elaboration of socio-technical scenarios. It uses the European Union's High-Level Expert Group's (EU HLEG) guidelines for trustworthy AI.

The Z-Inspection® process is distributed under the terms and conditions of the Creative Commons (Attribution-Non Commercial-Share Alike CC BY-NC-SA) license.

Z-Inspection® is listed in the new OECD Catalogue of AI Tools & Metrics. 

Networks and alliances