Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Authors
 
Session Overview
Session
6.F: Pathway to Digital Twins
Time:
Friday, 06/Sept/2024:
9:00am - 10:30am

Chair I: Thiranja Prasad Babarenda Gamage
Chair II: Julia Musgrave
 Location: 02.005

KII, Keplerstraße 17, Stuttgart 2nd floor, Room no. 005

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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

Robyn Walker May1,2, Tom Gentles3, Frank Bloomfield2, Finbar Argus1, Gonzalo Maso Talou1, Soroush Safaei1

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

Marian Bubak, Marek Kasztelnik, Maciej Malawski, Jan Meizner, Piotr Nowakowski, Piotr Połeć

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

Thiranja P Babarenda Gamage1, Chinchien Lin1, Linkun Gao1, Jiali Xu1, Ayah Elsayed1,2, Alan Wu1, Mathilde Verlyck1, Gregory Sands1, Koray Atalag3, Martyn P Nash1,4, Peter J Hunter1, David P Nickerson1

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

Daniele Tartarini1,2, Jacob M. Cummins1,2

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

Jan Philipp Payonk1, Konstantin Butenko2, Ursula van Rienen1,3,4, Julius Zimmermann1,5

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