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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/231883
Predicting bilingual aphasia treatment outcomes using digital twins: a double-blind randomized controlled trial
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Bilingual aphasia rehabilitation faces the challenge of determining which language to target in therapy to maximize recovery across both languages. This double-blind randomized controlled trial (48 Spanish–English bilinguals with chronic aphasia; NCT02916524) evaluated whether the BiLex computational model could predict the optimal language for aphasia therapy. Participants received 40hofsemanticfeature-basedtreatmentineitherthe BiLex-recommendedlanguageortheopposite language. Both groups showed similar gains in treated-language naming, with no significant difference in proportion of maximal improvement (Difference (SE) =–0.03 (0.07); t =–0.46; p =0.65). However, the model-opposite group showed significantly greater cross-language generalization (Difference (SE) =–0.16 (0.07); t =–2.38; p= 0.02), though with higher response variability. Further, when the participants were divided into subgroups according to performance, the model-assigned group had a significant advantage in all but the lowest performing subgroups. All these differences were consistent with BiLex model predictions.
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KIRAN, Swathi, et al. Predicting bilingual aphasia treatment outcomes using digital twins: a double-blind randomized controlled trial. npj Digital Medicine. 2026. Vol. 9, num. 454. ISSN 2398-6352. [consulted: 29 of October of 2026]. Available at: https://hdl.handle.net/2445/231883