Digital Twins in Neuroscience
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Published:2024-07-31
Issue:31
Volume:44
Page:e0932242024
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ISSN:0270-6474
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Container-title:The Journal of Neuroscience
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language:en
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Short-container-title:J. Neurosci.
Publisher
Society for Neuroscience
Reference10 articles.
1. A digital twins machine learning model for forecasting disease progression in stroke patients;Allen;Appl Sci,2021
2. Toward precision medicine using a “digital twin” approach: modeling the onset of disease-specific brain atrophy in individuals with multiple sclerosis
3. Chen Y , Wang W , Diao J , Wang D , Jian Z , Wang Y , Jiang Z (2023) Digital-twin-based patient evaluation during stroke rehabilitation. In: Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023). pp 22–33.
4. Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit;Dang;BMC Neurol,2023
5. Erol T , Mendi AF , Doğan D (2020) The digital twin revolution in healthcare. In 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp 1–7. IEEE.