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.
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