Smartwatch-Based Intelligent User Interfaces for Preventive Healthcare is a ZonMW project of which we matched the funding with STRAP to further the work on Experiencer.
In LIFTS, we contribute responsible behavior change technology tailored to the needs of children with mild intellectual disabilities, in the context of their increased risk of lifestyle diseases.
ENFIELD aims to create a unique European Centre of Excellence that excels the fundamental research in the scientific pillars of Adaptive, Green, Human-Centric, and Trustworthy AI that are new, strategic and of paramount importance to successful AI development, deployment, and acceptance in Europe. We lead the human-centric AI pillar and contribute to other pillars and the healthcare vertical.
The EWUU.nl AI Hub project aims to develop a strategic community on health data platforms. We focus on better semantic coding, digitization of context, and smarter management of physician preferences in alerting systems.
The Horizon Europe project IBeCHANGE addresses psychosocial and lifestyle risk factors to promote primary cancer prevention. We are working on personalization and digital twinning technologies, with the specific aim to improve long-term engagement.
In HealthyW8, we extend the results of the GOAL project by developing personalized support for increasing the adherence to healthy routines that prevent overweight and obesity throughout the lifecourse.
In STRAP, our mission is to detect in advance and prevent (re)occurrences of heart diseases not only with the help of medical data but also non-medical data, especially leveraging unobtrusively sensing devices.
The DiaGame project applies the sciences of data learning and biomedical simulations to an existing serious diabetes gaming platform (SugarVita). We aim to make the current SugarVita a data-driven, personalized serious game (SugarVita-P4) that empowers individuals with diabetes to manage the disease they are facing. In order to personalize the game, we integrate our expertise on the processing of personal data collected from health-related smartphone apps and also explore the use of data from Continuous Glucose Monitors.
The project with GGz Centraal (nicknamed “GGzond”) aims to further insights into mHealth/gamification personalization techniques can be embedded in operational care processes, in particular in the context of severe mental healthcare patients being that are monitored remotely.
In VITALISE we have contributed to workflow and architectural support for synthetic data generation and remote script execution.
Recently completed externally funded projects
GOAL aimed to develop a multi-dimensional theoretical framework to support evidence-based overweight prevention via gamified health technologies.
DMCoach aimed to educate, assist and monitor citizens with a high risk for the development of Diabetes Mellitus (type 2) or patients with already diagnosed pathology. The project aimed to improve the patients and citizens’ lifestyle by increasing the awareness on the risks related to having a not-healthy lifestyle. The improvement is obtained motivating and educating the patient with tailor-made advices. The patient information is used to semi-automatically produce such advices applying a clinically validated medical knowledge and the mediation of clinicians.