Project

ASCAPE

Artificial intelligence Supporting CAncer Patients across Europe

  • Duration:

The project objective is to take advantage of the advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ quality of life and health status. To this end, it will create an open AI infrastructure enabling health stakeholders (hospitals, research institutions, companies, etc.) to deploy and execute AI algorithms locally on their private data. Any new knowledge produced by this process can be shared while the medical data still remains private. The services to be designed, piloted and deployed include intelligent interventions for physiological and psychological support, improved patient and family counselling and guidance, early diagnosis and forecasts of ill-health, identification of disease trajectories and relapse, improved health literacy etc. ASCAPE focuses the training of the AI in two types of cancer, breast and prostate.

Partners

Gioumpitek Meleti Schediasmos Ylopoiisi Kai Polisi Ergon Pliroforikis Etaireia Periorismenis Efthynis, Greece ATOS Spain Siemens SRL, Romania INTRASOFT International, Luxembourg Panepistimio Patron, Greece Idryma Technologias Kai Erevnas, Greece SPHYNX Technology Solutions AG, Switzerland University of Novi Sad Faculty of Sciences, Serbia CareAcross, UK Ethniko Kai Kapodistriako Panepistimio Athinon, Greece Fundacio Clinic Per A La Recerca Biomedica, Spain Orebro Lans Landsting, Sweden Arthur's Legal BV, The Netherlands Fundacion Isys Internet Salud y Sociedad, Spain

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Contact Person
Dr.-Ing. Serge Autexier

Keyfacts

Publications about the project

Milovs Savic, Vladimir Kurbalija, Mihailo Ilic, Mirjana Ivanovic, Duvsan Jakovetic, Antonios Valachis, Thanos Kosmidis, Serge Autexier, Johannes Rust

In: Mirjana Ivanovic, Zakaria Maamar (editor). Proceedings of the 13th International Conference on Management of Digital EcoSystems. The International ACM Conference on Management of Emergent Digital EcoSystems (MEDES-2021) November 1-3 Virtual Event Tunisia MEDES '21 ISBN 9781450383141 Association for Computing Machinery 11/2021.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz