University of Barcelona

The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2018, ARWU/Shanghai Ranking 2018). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. Since January 2010, Universitat de Barcelona is part of the prestigious League of European Universities Research (LERU). EUCAIM will be supported by the groups of Computational Infrastructures for Biomedicine (Biochemistry Dept.) and the Artificial Intelligence in Medicine (Informatics Dept) Labs at the University.

Role of institution in the project

EUCAIM will be supported at the University of Barcelona by the Computational Infrastructures for Biomedicine (Biochemistry Dept.) and the Artificial Intelligence in Medicine (Informatics Dept) Labs. UB is co-leading WP6 (Federated analysis insfrastructure) and collaborates also in WP4 and WP5 aiming for coordination with WP6. UB brings the experience on the use of AI tecnologies in the analysis of biomedical data and the design and development of computational platforms for analysis both in Cloud and HPC environments. UB participates in the AI4HI cluster through the Eucanimage project. 

Role of institution in the project

MUW will contribute to research and development across the project with a focus on the bridging to the clinical community, and the development of methodology in the area of continual machine learning and cancer imaging.

Prof. Jose Luis Gelpí

Prof. Jose Luis Gelpí (male), PhD in Chemistry (1990, U. Barcelona) Full Professor, in Biochemistry and Molecular Biology. Dept. of Biochemistry. Univ. de Barcelona. Director of the Computational Bioinformatics node of the Spanish National Institute of Bioinformatics (ELIXIR Spain national node), hosted by the Life Science Dept. at the Barcelona Supercomputing Center. Author of over 120 peer-review scientific papers in the field of computational biology (H-Index 45, 12,276 citations). Main research interests: protein structure to function relationships, protein flexibility. Solutions for data integration in biology, including web-services, database management and integration in HPC environments. Prof. Gelpí group has participated as data manager in large genomics initiatives like ICGC, and PCAWG, and participates in EC projects BioExcel CoE, MuG, and, ELIXIR-Excelerate, EuCanSHare, or EuCanImage.

Dr. Karim Lekadir

Dr. Karim Lekadir is a Senior Lecturer at the Univ. of Barcelona, holds a Master’s Degree in Computer Science from University of Montpellier II (France) and a PhD in Medical Image Computing from Imperial College London (UK). He was previously a Visiting Scholar at Stanford University (USA). He was the recipient of a Marie-Curie research fellowship by the EC and a Juan de la Cierva postdoctoral fellowship by the Spanish Ministry of Science and Innovation. He participated in several EU projects in the field of medical imaging and computational biomedicine. His software developed during his PhD for cardiac functional quantification has been CE marked and commercialised by CMRtools, and is now used in more than 250 clinical centres worldwide. His current research focuses on the development of data science and machine learning approaches for the analysis of large-scale biomedical data, including medical images, radiomics and non-imaging data. He is currently coordinating several projects like euCanSHare on big data sharing and analytics with application to personalised medicine research in cardiology, EuCanImage, part of the AI4HI cluster, he is WP Leader in LONGITOOLS for building AI solutions to predict health trajectories based on exposome data.

Join the EUCAIM Consortium

Open Call for New Beneficiaries

We’re inviting new partners to enhance our pan-European infrastructure for cancer images and artificial intelligence.

Whether you’re a data holder with valuable cancer images or an innovator developing AI tools for precision medicine, this is your chance to contribute to a groundbreaking project.

Apply by 10 June 2024!

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Open Call Webinar

We recently hosted a webinar with more details for prospective applicants to the open call. A recording is available.

WATCH THE RECORDING

Our open Call for new collaborators
launches in April 2024

Opportunities for data holders & AI developers to contribute await! Let‘s join forces to enhance cancer diagnosis and treatment

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SAVE THE DATE
March 14, 10:00-11:30 aM CET

DISCOVER THE CANCER IMAGE EUROPE PLATFORM

TECHNICAL DEMONSTRATION WEBINAR

Explore the potential for AI-driven cancer care advancements!
Learn how to access and utilize our federated cancer image repository. The webinar is for AI Innovators & Data Providers interested in the platform and will feature an introduction to EUCAIM & Cancer Image Europe and a demonstration of data exploration & access.

Survey Invitation

Join Leading Experts In Shaping AI In Cancer

EUCAIM is looking for your feedback! We have recently published a Stakeholder Survey in order to reach out to potential end-users and stakeholders. We believe that your insights could significantly contribute to understanding the expectations of potential users and identifying the essential aspects that stakeholders find crucial for future engagement and collaboration with the platform.

Therefore, we would like to invite you to participate in the Stakeholder Survey about the Cancer Image Europe platform.

Completing the survey will take approximately 10 minutes. Your participation is crucial to the success of this project, and we deeply appreciate your expertise in shaping the future of cancer imaging and treatment.

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