REBECCA is a Horizon 2020 EU-funded project, coordinated by the Aristotle University of Thessaloniki, that aspires to tap into the potential of Real-world Data (RWD) for supporting groundbreaking clinical research on complex chronic conditions (CCC) as a complement to Randomised Controlled Trials (RCT). REBECCA moves beyond the analysis of Electronic health records (EHR), by combining it with detailed monitoring data from multiple wearable, online behaviour and registry data to monitor patients’ functional, emotional and Quality of Life trajectories, with high temporal granularity.
BigO is a Horizon 2020 EU-funded project, coordinated by the Aristotle University of Thessaloniki, that aims to redefine the way existing obesity-related policy strategies are designed and deployed in the European societies. It is envisioned as a valuable tool for the local Public Health Authorities by acting as an open platform that collects Big Data on children’s behaviour and helps planning health policies against obesity.Official project website: http://bigoprogram.eu
i-PROGNOSIS is a Horizon 2020 EU-funded project, coordinated by the Aristotle University of Thessaloniki, that aims to provide technology-based solutions against Parkinson’s disease, as well as raise awareness on the disease and self-health management. MUG is actively involved in the development of signal processing algorithms for behavioural modeling and machine learning algorithms for early Parkinson’s disease detection.Role: MUG is responsible for developing behavioural monitoring and machine learning algorithms and tools for detecting changes and assessing the risk of individuals having the Parkinson’s disease. Official project website: http://i-prognosis.eu/
SPLENDID is a FP7 EU-funded project, coordinated by the Aristotle University of Thessaloniki, that aims to provide personalised services guiding adolescents and young adults to healthy eating and activity behaviours, preventing the onset of obesity and eating disorders. MUG leads the development of signal processing algorithms and of the machine learning algorithms for behavioural risk assessment.Role: Prof. Anastasios Delopoulos is the project coordinator, while MUG leads WP3 “Information processing and inference”, dedicated to development of algorithms and modules aiming at behavioural monitoring, analysis and decision support. Official project website: http://splendid-program.eu/
VITALAS was an FP6 EU-funded project that provided a pre-industrial prototype for intelligent management of multimedia professional archives, including services for cross-media indexing and retrieval, large-scale search techniques and visualization, and context adaptation. Using the results of VITALAS in video retrieval applications, MUG participated in TRECVID 2008/2009/2010 demonstrating competitive results.Role: MUG developed the cross-media concept-based retrieval components of the VITALAS engine. Official project website: http://vitalas.ercim.eu/
ASSIST was an FP6 EU-funded project that provided a virtual unification of multiple heterogeneous patient record repositories, physically located in different medical centers/hospitals in order to facilitate research for cervical cancer. Semantic unification of the data was based on fuzzy semantic inference and data mining techniques.Role: MUG was part of the coordinating team. MUG also designed the overall system architecture and developed the ASSIST ontology and fuzzy rules for cervical cancer. Official project website: http://www.iti.gr/iti/projects/ASSIST.htm
PYTHAGORAS. Remote Controlled Intelligent Robot in an Augmented Reality Environment. Funded by the greek Ministry of Education under the EPEAEK framework.
YSTERA was a project funded by the greek General Secretariat of Research and Technology (PENED grant 03ED853) that aimed in the theoretical examination and the experimental justification of a model which collects, semantically interprets and uses audiovisual information collected from humans.