In 2022-2025, a systematic approach to computational medicine pursued by the EU EDITH Project resulted in a holistic idea of virtual human twin (VHT) as an integrated environment enabling multi-scale, multi-temporal and multi-disciplinary representation of quantitative human physiology and pathology. The European Commission decided to support practical implementation of the EDITH Roadmap as the European VHT initiative.
The main goal of the Krakow Conference on Computational Medicine in 2027 is to discuss different approaches for development new and enhance existing digital twins in healthcare (DTH) so it would be possible to profit from the emerging European VHT infrastructure to speed-up research in computational medicine and the practical use of their results.
We invite modelers, clinical researchers, data stewards and curators, infrastructure experts, patient advocacy organizations, experts in the areas of intellectual, ethical, legal and social issues, as well as innovative companies to present their solutions. The Conference will offer an excellent opportunity to foster greater interaction between communities working in these fields.
The conference will be the final showcase of the Teaming for Excellence project (2019-2027), which established the Sano Centre for Computational Medicine, highlighting the main results and sustainability within the ecosystem in Krakow and in Europe.
The organisation of the Conference is the result of the experience gained by the Sano team during Sano Science Day (2023, 2024), through cooperation in the Life Science Open Space initiative (since 2019), as well as the extensive experience of the Faculty of Computer Science at AGH and the Academic Computer Centre Cyfronet AGH in this field. Cooperation of these three institutions was successfully demonstrated during the previous KCCM in October 2025.
Conference topics include
- Mathematical medical models of organs and diseases
- Multiscale modeling
- Models and methods in computational neuroscience
- Modeling structure and functions of human microbiome
- Methods of acquisition, storage and retrieval of information in medicine
- Medical data management and processing
- Machine learning and AI models for healthcare
- Computer simulations using advanced computing infrastructures
- Analysis of medical images
- Surgical planning tools
- Model and simulation reproducibility and credibility
- Clinical decision support systems
- Population health
- Development of the Virtual Human Twin platform
- Ethical, legal, and social issues in computational medicine
Organisers
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| Sano Centre for Computational Medicine, Kraków Poland | Faculty of Computer Science AGH Krakow, Poland | Academic Computer Centre Cyfronet AGH, Krakow, Poland |
Important dates
- Deadline for abstracts – 16 April 2027
- Acceptance of abstracts – 5 May 2027
- Start of registration – 5 May 2027
- Deadline for registration of authors – 12 May 2027
- Registration closed – 26 May 2027
Registration and fee
No registration fee, conference by invitations
