Session | ||
6.F: Pathway to Digital Twins
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Presentations | ||
9:00am - 9:15am
6.F: 1 From clinical research to digital twins: How personalised computational modelling can add value in clinical care 1Auckland Bioengineering Institute, University of Auckland, New Zealand; 2Liggins Institute, University of Auckland, Auckland, New Zealand; 3Starship Hospital, Te Toka Tumai Auckland, Auckland, New Zealand 9:15am - 9:30am
6.F: 2 A demonstrator of the EDITH virtual human twin platform ACC Cyfronet AGH and Sano Centre for Computational Medicine, Krakow, Poland, Poland 9:30am - 9:45am
6.F: 3 12 Labours DigitalTWINS platform: Enabling development and clinical translation of virtual human twins 1Auckland Bioengineering Institute, University of Auckland, New Zealand; 2Auckland University of Technology, New Zealand; 3GALATA-Digital; 4Department of Engineering Science and Biomedical Engineering, University of Auckland, New Zealand 9:45am - 10:00am
6.F: 4 AI-CARE: Digital twin for cancer research 1Department of Computer Science, University of Sheffield, United Kingdom; 2Insigneo Institute for in Silico Medicine, University of Sheffield, Sheffield, United Kingdom 10:00am - 10:15am
6.F: 5 OSS-DBS v2.0: Adaptive meshing for deep brain stimulation modeling 1Institute of General Electrical Engineering, University of Rostock, Germany; 2Department of Neurology Brigham & Women's Hospital, Harvard Medical School, USA; 3Department Life, Light & Matter, University of Rostock, Germany; 4Department of Ageing of Individuals and Society, University of Rostock, Germany; 5Now with: Synthetic Physiology Lab, University of Pavia, Italy |