Back to search

Article

Digital Twin Model of Treatment Outcomes in Post-Stroke Aphasia

2026-02-04

Abstract excerpt

<h4>Background</h4> Recovery from chronic post-stroke aphasia is highly heterogeneous and shaped by lesion characteristics, brain integrity, and systemic health. Traditional group-level models struggle to capture this multidimensional, dynamic variability. Digital twin approaches - patient-specific, continually updating models - may enable individualized prediction and counterfactual evaluation of modifiable risk...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2c3b12c1-120e-560e-90d8-7faf7c4e6128
DOI
10.64898/2026.02.03.26345022
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Digital Twin Model of Treatment Outcomes in Post-Stroke AphasiaDOI 10.64898/2026.02.03.26345022
Select a neighboring publication to make it the new centre.