The conference’s motto is “Enhancing Virtual Human Twin with AI solutions“. Personalised medicine, focusing on the development of in silico methods to replace in vivo and in vitro approaches, should make more effective use of the solutions brought about by the AI revolution, based on machine learning and data analysis methods—perceived not as competitive, but as supportive of existing modelling and simulation techniques.
Given the organisers’ expertise in both computer simulation and artificial intelligence, the Conference will offer an excellent opportunity to foster greater interaction between communities working in these two fields. Computer technologies and high-performance computing are of key importance to progress in computational medicine. Therefore, an additional advantage of the Conference will be the inclusion of technical aspects related to the use of new computing infrastructures.
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.
Conference topics include
- Mathematical medical models
- Multiscale modelling
- Computational modelling of organs and diseases
- Patient data management and processing
- Methods of acquisition, storage and retrieval of information in medicine
- Analysis of medical images
- Machine learning models for healthcare
- Computer simulations using advanced computing infrastructures
- Surgical planning tools
- Model and simulation reproducibility and credibility
- Clinical decision support systems based on artificial intelligence
- Towards the Virtual Human Twin platform
- Ethical, legal, and social issues in VHT
Keynote Lectures
Ewa Deelman - University of Southern California
Liesbet Geris – KU Leuven
Tomasz Gosiewski - Jagiellonian University Medical College
Alfons Hoekstra – University of Amsterdam
Joanna Jaworek-Korjakowska – AGH University
Emiliano Ricciardi – MT School for Advanced Studies Lucca
Daniel Taylor – University of Sheffield
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 |
Registration and fee
No registration fee, conference by invitations
Important dates
Deadline for abstracts – 21 August
Acceptance of abstracts – 2 September
Start of registration – 29 August
Deadline for registration of authors – 10 September
Registration closed – 30 September
Regulations
