Using Digital Twins to Predict Recovery and Decline in Neurological Disorders.
- DOI
- 10.1109/tnsre.2026.3740549
- Published
- 2026 Oct 6
- Container
- IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/tnsre.2026.3740549,
title = {Using Digital Twins to Predict Recovery and Decline in Neurological Disorders.},
author = {Kiran S and Miikkulainen R},
year = {2026},
journal = {IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society},
doi = {10.1109/tnsre.2026.3740549},
url = {https://doi.org/10.1109/tnsre.2026.3740549}
}RIS
TY - JOUR TI - Using Digital Twins to Predict Recovery and Decline in Neurological Disorders. AU - Kiran S AU - Miikkulainen R PY - 2026 JO - IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society DO - 10.1109/tnsre.2026.3740549 UR - https://doi.org/10.1109/tnsre.2026.3740549 ER -
APA
S, K., & R, M. (2026). Using Digital Twins to Predict Recovery and Decline in Neurological Disorders.. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/tnsre.2026.3740549
Source records
- pubmed · retrieved 2026-11-10T13:35:58.844Z