The Applied Intelligent Systems Lab (AISLab) is applying Intelligent Agent and Multiagent techniques to healthcare. Its methodology is bottom-up, thus starting from real requirements in close collaborations with healthcare professionals and actors, trying to find the best available techniques to solve them. The lab activities cover mainly the following areas:
- Intelligent agents for Personalized Medicine
- Health sensors monitoring and decision support
- Semantic data representation, interoperability and blockchain technologies for health data exchange
For those areas, the lab develops solutions in integrating Artificial Intelligence with modern software technologies with a focus on mobile, Web and Semantic Web technologies.