{"id":21039,"date":"2025-01-29T19:52:02","date_gmt":"2025-01-29T18:52:02","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&p=21039"},"modified":"2025-03-13T11:26:41","modified_gmt":"2025-03-13T10:26:41","slug":"towards-virtual-human-twin-achievements-of-the-eu-csa-project-edith","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/towards-virtual-human-twin-achievements-of-the-eu-csa-project-edith\/","title":{"rendered":"154. Towards virtual human twin: achievements of the EU CSA Project EDITH"},"content":{"rendered":"\n
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Computational medicine requires mathematical models of human physiology implemented as simulation modules, access to medical data, simulation procedures, software environment, computing infrastructures, and standardization and certification procedures [1, 2]. Research initiated by Peter Hunter [3] was continued under umbrella of Virtual Physiological Human [4] by many researchers and institutions like our Sano.<\/p>\n\n\n\n

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Recently, in the framework of the EU Project EDITH [5] coordinated by Liesbet Geris, a holistic and systematic approach was pursued aiming at determining principles and foundations for implementation of computational medicine: from cells and tissues to organs and entire body in the form of virtual human twin (VHT) [6].  To enable more efficient research and put the VPH idea into practice, we require an inclusive ecosystem, implementation of a federated repository gathering resources such as models, data sets, algorithms, practices, as well as a simulation platform on top of resources.  The EDITH Roadmap [5] presents a set of recommendations related to creators and consumers\u200b in this area, basic building blocks of VHT technologies, infrastructures, ELSI, and sustainability conditions, standards and regulatory aspects.<\/p>\n\n\n\n

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The complexity and scale of VHT demand high-performance computing (HPC) to run computationally intensive simulations, training AI-based twins, and perform data-intensive analyses. The Cyfronet team has created a demonstrator for VHT simulations on HPC; it enables collaborative usage and reproducibility. The functionality of the demonstrator was successfully validated with a set of typical VHT modules and now it is further developed to become a central tool of a simulation system for strokes [7].<\/p>\n\n\n\n

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Acknowledgements<\/strong><\/h2>\n\n\n\n

I\u2019m very grateful to Marek Kasztelnik, Piotr Nowakowski, Piotr Po\u0142e\u0107, Maciej Malawski and Jan Meizner for joint work.  We thank grants EU: EDITH No 101083771 Digital Europe, GEMINI No 101136438 HORIZON, Teaming Sano No 857533, and Cyfronet AGH PLG\/2023\/016723. <\/p>\n\n\n\n

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References<\/h2>\n\n\n
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  1. G. Tourassi: Computational medicine: Grand challenges and opportunities for revolutionizing personalized healthcare, Frontiers in Medical Engineering, vol. 1, 2023, 10.3389\/fmede.2023.1112763<\/li>\n\n\n\n
  2. P. Coveney, R. Highfield: Virtual You. How Building Your Digital Twin will Revolutionize Medicine and Change Your Life, Princeton University Press, 2023<\/li>\n\n\n\n
  3. Physiom Project – https:\/\/www.auckland.ac.nz\/en\/abi\/our-research\/research-groups-themes\/physiome-project.html<\/a><\/li>\n\n\n\n
  4. VPH Institute – https:\/\/www.vph-institute.org\/<\/a><\/li>\n\n\n\n
  5. EDITH \u2013 European Virtual Digital Twin, EU Project, Digital Europe,\u00a0 https:\/\/www.edith-csa.eu\/<\/a><\/li>\n\n\n\n
  6. M. Viceconti, M. De Vos, S. Mellone, L Geris: Position paper from the digital twins in healthcare to the virtual human twin: a moon-shot project for digital health research, IEEE Journal of Biomedical and Health Informatics 28 (1), 491-501, 2024<\/li>\n\n\n\n
  7. GEMINI – A Generation of Multi-scale Digital Twins of Ischaemic and Haemorrhagic Stroke Patients, EU Project, HORIZON, <\/a>https:\/\/dth-gemini.eu\/<\/a><\/li>\n<\/ol>\n\n