Sano’s Projects

At Sano Centre for Computational Medicine, we are proud to showcase the diverse and wide-ranging set of projects that our teams and individual researchers are undertaking, thanks to the support from a variety of funding sources including European and Polish grants. Each project reflects our commitment to advancing the field of Computational Medicine through innovative research, interdisciplinary collaboration, and the application of advanced computing technologies to solve complex medical challenges.

Here, you will find detailed insights into the aims, and impacts of our ongoing and completed projects.

These initiatives not only contribute to scientific knowledge but also aim to enhance healthcare outcomes, demonstrating our dedication to improving patient care through scientific excellence.

EU

Teaming for Excellence (2019 – 2026)

InSilicoWorld ISW  (2021 – 2024)

NearData (2023 – 2025) 

GEMINI (2023 – 2029)

NCN

WEAVE 

SONATA 

PRELUDIUM 

PRELUDIUM  

PRELUDIUM 

 NEARDATA 

The goal of  NEARDATA  is to create an extreme data infrastructure mediating data flows between Object Storage and Data Analytics platforms across the Compute Continuum. Novel XtremeDataHub platform is an intermediary data service that intercepts and optimises data flows (S3 API, stream APIs) with high performance near-data connectors (Cloud/Edge).   

Sano Team is responsible for:

  • Developing a pipeline for building transcriptomics atlas of selected tissues/diseases, with the use of HPC and Cloud technologies;
  • Federated Learning framework – a set of tools for running Federated Learning experiments on large scale genomics data.

NEARDATA  project website:  https://neardata.eu/ 

Duration: 01 January 2023 – 31 December 2025 

Maciej Malawski (Extreme-scale Data and Computing)

Partners/ List of collaborators:

  • Universitat Rovira i Virgili (ES) – Coordinator
  • Barcelona Supercomputing Center (ES)
  • Technische Universität Dresden (DE)
  • Deutsches Krebsforschungszentrum Heidelberg (DE)
  • European Molecular Biology Laboratory (DE)
  • EMC Information Systems International Unlimited Company (IE)
  • KIO Networks España SA (ES)
  • Sano – Centre for Computational Medicine (PL)
  • Scontain GMBH (DE)
  • UK Health Security Agency (UK)

ISW (In Silico World) 

The In Silico World project aims at accelerating the uptake of modelling and simulation technologies used for the development and regulatory assessment of medicines and medical devices, by lowering seven identified barriers: development, validation, accreditation, optimisation, exploitation, information, and training. 

This initiative employs computer models that leverage experimental data for hypothesis testing and outcome prediction. 

Work package:

Scalability and efficient computing (WP5 led by Sano)

This package focuses on creating a sophisticated, user-friendly simulation platform that ensures the repeatability, replicability, and reproducibility of simulation outcomes. It also aims to facilitate efficient access and utilization of computational and storage capacities, both locally and within major European e-infrastructures like PRACE, EOSC, Eudat, and upcoming EuroHPC initiatives. 

ISW (In Silico World)  project website:  https://insilico.world/ 

Duration: 1 January 2021 –31 December 2024 

Marian Bubak (Dyrektor ds. naukowych Sano)

Partners/ List of collaborators:

  • Alma Mater Studiorum – Università di Bologna (IT) – Coordinator
  • Universiteit van Amsterdam (NL)
  • Technische Universiteit Eindhoven (NL)
  • Università degli Studi di Catania (IT)
  • Virtual Physiological Human Institute for Integrative
  • Biomedical Research VZW
  • Katholieke Universiteit Leuven (BE)
  • Insilicotrials Technologies SRL
  • Universite de Liege (BE)
  • Erasmus Universitair Medisch Centrum Rotterdam (NL),
  • Budapesti Muszaki es Gazdasagtudomanyi Egyetem (HU)
  • Din Deutsches Institut Fuer Normung E.V. (DE)
  • Mimesis SRL
  • Rsscan International NV (BE)
  • Sano – Centre for Computational Medicine (PL)
Projekt GEMINI Sano

GEMINI

GEMINI is a project which promises to save lives and enhance the well-being of stroke patients, as it aims at improving diagnosis and treatment for acute ischaemic and haemorrhagic stroke.
This aim will be achieved by developing patient-specific decision-making tools and well-established models that can accurately assist in the diagnosis and stratification of stroke patients for tailored treatments.
Multi-organ and multi-scale Digital Twins models will be developed to improve our understanding of and support personalised treatment selection for this severe condition.

Work package:

Sano is responsible for quality assurance (QA) and ensuring proper verification and validation of software that encapsulates computational models of various types of strokes. For Sano, it is a third EC-funded project, along with the ongoing In Silico World and NearData projects. 

GEMINI project website: dth-gemini.eu

Duration: 01.12.2023 – 30.11.2029 

Marian Bubak (Dyrektor ds. naukowych Sano)

Partners/ List of collaborators:

  • Academisch Medisch Centrum Bij de Universiteit van Amsterdam (AMC) – Coordinator (NL)

  • AMC Medical Research BV (NL)

  • University of Amsterdam (NL)

  • Erasmus Universitair Medisch Center Rotterdam (NL)

  • Politecnico di Milano (IT)

  • Neuravi Limited (IE)

  • National University of Ireland Galway (IE)

  • Universidad Pompeu Fabra (ES)

  • Budapesti Műszaki és Gazdaságtudományi Egyetem (HU)

  • Ansys France SAS (FR)

  • Sano Centrum Zindywidualizowanej Medycyny Obliczeniowej – Międzynarodowa Fundacja Badawcza (PL)

  • Rheinische Friedrich-Wilhelms-Universität Bonn (DE)

  • Insteps BV (NL)

  • Nico-Lab BV (NL)

  • Sim&Cure (FR)

  • Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie (PL)

  • Les Hôpitaux Universitaires de Genève (CH)

  • Zürcher Hochschule für Angewandte Wissenschaften (CH)

  • National Taiwan University (TW)

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