Cyfronet Laboratory of Information Methods in Medicine
Our group conducts research and development projects which focus on utilisation of large data processing and high performance computing in computational science of all domains. With our ideas, technologies and tools we help other scientists to apply supercomputing and big data approaches to achieve new breakthroughs in science.
See our research
Our research interests include:
- Methods, techniques and environments for programming and execution of complex scientific applications on cluster, HPC and Cloud infrastructures,
- Collaborative environments for computational medicine applications,
- Development of AI methods and tools
- Elaboration of the Virtual Human Twin platforms
- Knowledge-based approach to computation and data, including registries, application monitoring
Current research projects
- Sano: Centre for New Methods in Computational Diagnostics and Personalised Therapy
- Edith: European Virtual Human Twin
- Meetween: My Personal AI Mediator for Virtual MEETtings BetWEEN People
- Towards GEMINI: A Generation of Multi-scale Digital Twins of Ischaemic and Haemorrhagic Stroke Patients
