Eight organisations across research, clinical care and industry, each bringing a distinct capability to the project.
ICT SME with wide experience in the development of e-health solutions as well as AI-based SW solutions.
SERMAS, through La Paz Hospital and its research department IdiPAZ, brings a translational and clinical research service to carry out clinical trials and a Clinical Ethics Committee.
UPM, through the Biomedical Informatics Group, brings wide experience in integration of distributed clinic-genomic databases, biomedical ontologies, AI in biomedicine, and Deep Learning and LLMs.
Non-profit research organisation specialised in Machine Learning, Deep Reinforcement Learning, Big Data analysis, systems and control theory, dynamic optimisation, Federated Learning and explainable AI.
UL brings substantial experience and expertise in health psychology, intervention design, implementation and evaluation, health risk profiling, motivation science, self-regulation and behaviour change techniques.
UNIBA, through its Endocrinology Unit at the University Hospital in Bari, brings a 20-bed inpatient ward and a Diabetes Outpatient Clinic with over 10,000 active patients, plus wide clinical trial experience.
Technological SME with wide experience in feedback control, cloud computing and AI, particularly in Reinforcement Learning Systems.
Through the QoL Technologies Lab, UNIGE brings expertise in computational modelling for QoL domains. Through EvaLAB, UI and interaction design and UX evaluation. Through the Unit of Therapeutic Patient Education (HUG), the WHO collaborating centre for patient education and long-term follow-up strategies for chronic diseases.
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement Nº 101156751. Views and opinions expressed are however those of the author(s) only and do not necessarily reflet those of the European Union. The European Union can not be held responsible for them.
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