Krakow Conference on Computational Medicine 2025

Krakow Conference on Computational Medicine 2025

Enhancing Virtual Human Twin with AI solutions

October 15–18, 2025, Krakow

Organisers

Scope and topics

The conference’s motto is “Enhancing Virtual Human Twin with AI solutions“. Personalized medicine, focusing on the development of in-silico methods replacing in-vivo and in-vitro methods, should more effectively use the solutions brought by the AI ​​revolution based on machine learning and data analysis methods; perceived not as competitive, but as supporting existing modeling and simulation methods.

Given the Organisers’ expertise in both computer simulation and artificial intelligence, the Conference will be an excellent opportunity to gain greater interaction between the communities working in these two fields. Computer technologies and high-performance computing are of key importance for progress in computational medicine and therefore an additional advantage of the Conference will be the inclusion of technical aspects of the use of new computing infrastructures.

The organisationof the Conference is the result of the experience gained by the Sano team during Sano Science Day (2023, 2024) and cooperation in the Life Science Open Space organisation (since 2019) and as well as on a very broad experience of the Faculty of Computer Science AGH and Academic Computer Centre Cyfronet AGH in this area.

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

Important Dates

  • Instructions for authors  -  10 June  
  • Call for abstracts  – 10 June  
  • Deadline for abstracts  – 21 July  
  • Acceptance of abstracts   - 11 August  
  • Start of registration – 11 August 
  • Deadline for registration of authors  – 10 September   
  • Registration closed – 30 September 
  • Conference – 16-17 October 
  • Workshops – 15 and 18 October 2025 

Keynote Lectures

Conference schedule

Thursday, 16 October 2025  
  • 08.30-09.00 – registration
  • 09.00-09.15 – Opening
  • 09.15-10.00 – Keynote 1
  • 10.00-10.50 – Short presentations of posters (20 posters, 2 min/poster)
  • 10.50-11.20 – Coffee break and posters
  • 11.20-12.05 – Keynote 2
  • 12.05-13.20 – 5 contributed talks
  • 13.20-14.00 – Lunch and posters
  • 14.00-14.45 – Keynote 3
  • 14.45-16.00 – 5 contributed talks
  • 16.00-16.20 – Coffee break and posters
  • 16.20-17.05 – Keynote 4
  • 17.05-18.20 – 5 contributed talks

19.30-22.00 – Dinner

Friday, 17 October 2025
  • 08.30-09.00 – registration
  • 09.00-09.45 – Keynote 5
  • 09.45-11.00 – 5 contributed talks
  • 11.00-11.20 – Coffee break and posters
  • 11.20-12.05 – Keynote 6
  • 12.05-13.20 – 5 contributed talks
  • 13.20-14.00 – Lunch and posters
  • 14.00-14.45 – Keynote 7
  • 14.45-16.00 – 5 contributed talks
  • 16.00-16.20 – Coffee break and posters
  • 16.20-17.05 – Keynote 8
  • 17.05-17.30 – Summing up

Tutorials

Organized by the Sano teams on 15 from 15.30 to 18.30.

The Conference will be accompanied by tutorials in the field of computational medicine, AI methods and large-scale computing  on 15 October and on 18 October 2025 for medical doctors and researchers. Active participation in the tutorial will be confirmed with an appropriate certificate.

Implementing Intelligence: Legal Challenges in Creating AI Solutions – a platform for sharing experiences (Wioletta Niwińska, Anna Kajda-Twardowska, Michał Kosobudzki) – Legal and Data Protection Team 

check details

Implementing Intelligence: Legal Challenges in Creating AI Solutions – a platform for sharing experiences (Wioletta Niwińska, Anna Kajda-Twardowska, Michał Kosobudzki) Legal and Data Protection Team

The implementation of projects, particularly involving AI solutions, imposes the need for lawyers to exercise due diligence to safeguard the interests of companies, software owners, but also to ensure the safety of end users. Looking at AI projects from a broader perspective is key to securing and developing AI systems that comply with normative principles, rules and standards of trustworthiness.  

The implementation of AI tools requires multidisciplinary teams, which is possible for large entrepreneurs and difficult to achieve for smaller entities such as startups. Compliance with trustworthy AI and responsible AI principles can determine the success of the entire project and is key to building public trust for AI technologies.  

The aim of the workshop is to respond to the needs of lawyers and those working with AI systems who may encounter difficulties related to the legal regulation of advanced solutions in their daily work. The workshop is intended to lead to an increased awareness among participants of the complexity of legal regulations that need to be considered when developing AI solutions. Through this workshop, participants will gain tips on the information needed to verify and the steps worth planning when creating AI solutions. During the workshop, speakers will share their experience in the legal security of the project being developed with a particular focus on IP and data protection issues. This workshop will be a space to share good practices from different regions of the globe. We hope that this workshop will inspire participants to plan projects outside the box and to look for unusual and creative solutions. IP and data issues are crucial elements of any AI software. It is hoped that the universality of the topic will enable the knowledge gained to be applied to most AI and Law projects and contribute to broad interest of the workshop by the audience. The workshop will provide an opportunity for participants to share their experiences and will be a platform for knowledge exchange, as well as an opportunity for networking. The value for the participants will be to broaden their horizons in terms of their roles and assigned responsibilities, which will allow them to more easily understand the perspective of the other people and entities acting within the project. 

The target group of the workshop is the conference participants, regardless of their legal background, who may have different roles in the implementation of the AI project. The participation of representatives from different groups will allow the identification of legal risks from their perspective but may also lead to the development of a common way to mitigate them. The workshop is addressed both to people from the legal world (law students, lawyers) and the broader business world, including developers, C-suite, board of directors, compliance and data protection specialists, engineers and AI architects and people who do not have any experience in implementing AI tools such or those who plan to retrain into the world of artificial intelligence specialization. The workshop is scheduled for half a day. The training will be divided into 2 parts. 

Efficient computing – Extreme-scale Data and Computing / Academic Computer Centre Cyfronet AGH

Image processing for radiologists – Computational Neuroscience Team

Support for allergy specialists – Personal Health Data Science Team

Medical Imaging and Robotics Team

Verification, Validation and Uncertainty Quantification (VVUQ) – Scientific Programmers Team

Venue

Tutorials (15 October 2025) – at the premises of organising institution 

Conference (16-17 October 2025) – at the premises of the Faculty of Computer Science AGH – Building D17,  Kawiory Street 21, 30-055 Krakow (map) 

Steering Committee

  • Marian Bubak – Sano Centre
  • Maciej Malawski – Sano Centre
  • Marek Kisiel-Dorohinicki – Faculty of Computer Science AGH
  • Marek Magryś – Academic Computer Centre Cyfronet AGH

Program Committee

  • Jan K. Argasiński – Sano Centre for Computational Medicine
  • Aleksander Byrski – Faculty of Computer Science AGH
  • Ewa Deelman – University of Southern California, USA
  • Przemysław Korzeniowski – Sano Centre for Computational Medicine
  • Tomasz Kościółek – Sano Centre for Computational Medicine
  • Rafał Niżankowski – Sano Centre for Computational Medicine
  • Andrew Narracott – University of Sheffield Sano UK
  • Wiesław Nowiński – Sano Centre for Computational Medicine
  • Jose Sousa – Sano Centre for Computational Medicine
  • Ewelina Szymańska-Skolimowska – Sano Centre for Computational Medicine
  • Olav Zimmerman – Juelich Supercomputing Center, DE

Organising Committee

  • Katarzyna Baliga-Nicholson – Sano Centre for Computational Medicine
  • Magdalena Chrzanowska – Sano Centre for Computational Medicine
  • Dominik Czaplicki – Sano Centre for Computational Medicine
  • Tomasz Gubała – Sano Centre for Computational Medicine
  • Marta Jarkiewicz – Sano Centre for Computational Medicine
  • Marta Maj – Academic Computer Centre Cyfronet AGH
  • Katarzyna Niziołek-Jarominek – Wydział Informatyki AGH
  • Anna Partyka – Sano Centre for Computational Medicine
  • Maria Sendecka – Sano Centre for Computational Medicine 

Call for contributions – instructions for authors

Contributions will be accepted based on the assessment by the Program Committee of two-page abstracts (approx. 2300 characters) with a fixed structure:

  • Introduction
  • Description of the problem
  • Related work
  • Solution of the problem
  • Conclusions and future work
  • References: Submitted abstracts will be evaluated for compliance with the KCCM topics, originality, novelty, technical accuracy of the description, completeness of sections, readability, compliance with the KCCM framework, and selection of references.

Please follow the template of the abstract.

Registration and fee

No registration fee, conference by invitations

Watch the key highlights from last year’s Sano Science Day, where our scientists, engineers, and experts shared their achievements and innovations.