Session 3: Data Quality Standardisation, synthetic data generation, anonymizationand interoperability

Speakers: Sara Reidel, Giulio Spinozzi​, Sofia Tsekeridou, Imanol Isasa, Rafael Redondo, Inês Sousa, Jan Ramon, Max Salmi 

Imanol Isasa Reinoso obtained his degree in Biomedical Engineering from Mondragon Unibertsitatea in 2021, following a stay in Germany (Hochschule Furtwangen University, HFU), where he focused on the analysis of EIT (Electrical Impedance Tomography) images in COVID-19 patients in collaboration with the ITeM (Institute of Technical Medicine). In September 2021, he began the Master's degree in Biomedical Technologies at Mondragon Unibertsitatea, and by the end of 2022 he started developing his Master's Thesis at Vicomtech, entitled "Healthcare-oriented generation of synthetic time series and associated subjects." After completing his master's studies, Imanol joined the Digital Health and Biomedical Technologies Department at the same center. Currently, he is a researcher at Vicomtech and is pursuing his PhD at the University of the Basque Country, focusing on federated learning technologies and generative models.

Rafael Redondo Tejedor, Senior Researcher with a PhD in Computer Vision at the Institute of Optics (CSIC) and ETSI Telecommunication (UPM) in 2007 and a Master in Sonology (UPF) in 2012. Throughout my career, I have participated in multiple international initiatives of scientific and technological relevance with the participation of academic and industrial partners, strengthening interdisciplinary research and technology transfer. In recent years, as technical leader and coordinator of multidisciplinary projects, I have led public and private research in applied deep learning, including multimodal generative models. AMETIC 2024 Award for Best R&D Project, high-impact project of CIDAI of scientific and industrial excellence with 3Cat. My sustained scientific production, with more than 30 articles in international journals and conferences, and since 2022 as a supervisor of MSc and PhD students at the UAB and UPF, contributes to advanced training and the transfer of academic-industrial knowledge.

Inês Sousa is the Head of Intelligent Systems and a senior researcher at Fraunhofer Portugal AICOS. Within the Intelligent Systems group, Inês leads a team of 30 researchers who work closely with clients and partners to conceptualize, plan, and develop Artificial Intelligence based solutions that are secure and have a positive impact. These solutions automate repetitive processes, enhance human capabilities in interpreting large amounts of data and anticipating events, and support decision-making, generating value.
Inês holds a PhD in Biomedical Engineering from the Instituto Superior Técnico, where, in collaboration with Siemens Healthcare and Hospital da Luz, she studied brain function through quantitative Magnetic Resonance Imaging techniques.
From human brain research, she transitioned to artificial intelligence, maintaining a focus on processes that evolve over time, such as the evolution of clinical risk factors or post-surgical recovery. Currently, she is involved in the Center for Responsible AI, an initiative that brings together the entire national AI ecosystem, with the goal of advancing the field of developing robust and auditable AI solutions while maintaining data privacy. She also coordinates the European AISym4Med consortium, which aims to create a platform that supports the development of AI solutions for health, ensuring secure access to high-quality clinical data.