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A Closed-Loop Stroke Digital Twin: Integrating BCI-Derived Electrophysiology and Spatiotemporal Multi-Omics via Transformer-GNN Fusion Networks

2026-06-05

Abstract excerpt

<title>Abstract</title> <p>Background Even with optimal secondary prevention, the residual risk of recurrent ischemic stroke remains clinically significant: epidemiological data indicate that approximately one in six patients experiences a recurrent ischemic event within five years [1, 3, 49]. Conventional risk stratification tools rely on cross-sectional data, which precludes detection of the continuous molecul...

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Literature Corpus work
fd5ba980-5001-536d-afef-bfdb6279b10c
DOI
10.21203/rs.3.rs-9600410/v1
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A Closed-Loop Stroke Digital Twin: Integrating BCI-Derived Electrophysiology and Spatiotemporal Multi-Omics via Transformer-GNN Fusion NetworksDOI 10.21203/rs.3.rs-9600410/v1
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