• The UAM–BioSmartData Chair of Artificial Intelligence and Real World Evidence (RWE) in the health field is created, with the aim of strengthening research, innovation and advanced training in biomedical engineering and clinical data analysis.
  • Through this collaboration, both entities promote the use of artificial intelligence with scientific rigor, academic excellence and a focus on clinical practice, fostering a new generation of predictive and prescriptive models for personalized medicine.

The alliance between the Autonomous University of Madrid (UAM) and the startup BioSmartData (BSD) gives rise to the first chair in Spain that integrates artificial intelligence, real-world data (RWE) for the development of predictive and prescriptive algorithms with direct application in personalized medicine.

This initiative, channeled through the Autonomous University of Madrid Foundation (FUAM), unites science, data and technology to accelerate the transition towards more precise, personalized and evidence-based medicine.

Madrid, October 20th 2025. The signing ceremony for the Chair took place at the headquarters of the Autonomous University of Madrid Foundation (FUAM), on the Cantoblanco campus, and was attended by institutional, academic and business representatives.

Representing BioSmartData were María Cayuela Calvo (CEO) and Juan Cifre (COO). During her remarks, María Cayuela emphasized: “This professorship reinforces our commitment to rigorous, collaborative science focused on real-world impact. At BioSmartData, we don’t work based on intuition, but on data. We understand artificial intelligence as a tool to improve medical practice, optimize outcomes, and advance toward truly personalized medicine.”

Representing the UAM were Félix Zamora Abanades, Vice-Rector for Innovation and Transfer; Carlos Aguirre Maeso, Director of the Higher Polytechnic School; the two academic directors of the Chair, Prof. Doroteo Torre Toledano and Prof. Daniel Ramos Castro, from the Department of Electronic and Communications Technology; and Rocío Schettini del Moral, General Director of the UAM Foundation, who highlighted the role of the FUAM as “a facilitator of strategic alliances that reinforce the social impact of the university, as is the case with this collaboration with BioSmartData, which opens new opportunities to validate predictive models in real environments, representing a significant advance in the application of artificial intelligence in health.”

The Chair’s directors agreed on the transformative nature of the project. “The UAM-BioSmartData Chair represents a university-industry collaboration opportunity to strengthen both the AUDIAS group’s research and the company’s capabilities in using technology for managing and analyzing real-world data in the healthcare sector. The AUDIAS group’s extensive experience in applying Artificial Intelligence to a wide range of problems will undoubtedly allow the company to add enormous value to its activities in areas as beneficial to society as improving chronic musculoskeletal pain, developing emerging therapies for its treatment, and promoting regenerative medicine, as well as optimizing the cost-effectiveness of therapeutic protocols in this field,” Professor Torre Toledano noted. For his part, Daniel Ramos added that “The AUDIAS group has demonstrated its capabilities in using AI to solve challenges with real data, through the successful establishment of numerous collaborations with companies, both long-term and short-term, addressing significant challenges in a wide variety of application areas. This is why our expectations for the results of the Chair are very high. Furthermore, the benefits for the Autonomous University of Madrid from this collaboration are enormous, ranging from expanding its knowledge in the BioSmartData business sector to disseminating its activities among medical and biomedical engineering professionals, which opens the possibility of future synergies in research, training, and technology transfer. Undoubtedly, the establishment of this Chair represents a great success for both the Autonomous University of Madrid and BioSmartData.”

Using real clinical data to improve medical decision-making through artificial intelligence technologies

The Chair, which will be linked to the AUDIAS research group of the Higher Polytechnic School of the UAM, will develop lines of work focused on the analysis of chronic musculoskeletal pain, the evaluation of emerging therapies, the study of the cost-effectiveness of treatments, as well as the promotion of doctoral training.

With this initiative, the UAM and BioSmartData consolidate a shared space for research, training and innovation around artificial intelligence applied to health, reinforcing the role of the UAM as a transformative agent at the service of society.

About BioSmartData

BioSmartData (BSD) is a DataHealth startup specializing in the development of AI-based solutions and real-world evidence (RWE) to transform clinical practice and biomedical research.
Its mission is to convert lost clinical data into actionable knowledge capable of improving therapeutic precision, optimizing medical decision-making, and accelerating the scientific validation of new treatments.

With an approach that integrates scientific rigor, advanced technology and human purpose, BioSmartData collaborates with hospitals, scientific societies, universities and the healthcare industry to build a smarter, more sustainable and evidence-based health ecosystem.

About the AUDIAS group

AUDIAS is a consolidated research group at the Autonomous University of Madrid that addresses complex problems in the field of speech, audio and temporal signals, based on solid foundations in machine learning and signal processing.

Contacts:

  • Communication and Institutional Image Unit

Autonomous University of Madrid, Cantoblanco Campus, C/ Einstein, 3. Ground Floor. Rectorate Building. 28049. Madrid

Tel.: 91 497 42 15 / 50 94 – comunicacion@uam.es – www.uam.es

  • Dpto Marketing y Comunicación BioSmartData
    C/ Xesc Forteza (actor),5. 07141 (Marratxí), Baleares
    Jovanna Madera; jmadera@biosmartdata.eu
    María Cayuela; mcayuela@biosmartdata.eu
    www.biosmartdata.eu