Papers
1
Total Citations
32
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About
Duc Tran is a researcher working at the intersection of neurorehabilitation and assistive robotics, with a particular focus on enhancing recovery outcomes for stroke survivors. His most notable work examines innovative combination therapies for individuals experiencing post-stroke hemiplegia — a condition that remains debilitating even after conventional treatment. In his influential 2016 study, which has garnered 32 citations, Tran critically investigates the compelling rationale for targeting multiple nodes within the motor learning network simultaneously, combining robot-assisted upper limb therapy with dopaminergic pharmacotherapy and virtual reality environments. This multimodal approach reflects a sophisticated understanding that stroke rehabilitation requires engaging neuroplasticity through complementary mechanisms rather than relying on any single intervention. By bridging neuropharmacology, robotics, and motor learning science, Tran's research challenges the traditional boundaries of rehabilitation medicine and advocates for more integrative clinical strategies. His work is particularly valuable for clinicians and researchers seeking evidence-based pathways to improve functional outcomes for the significant proportion of stroke patients who fail to regain meaningful arm and hand function through standard care alone.
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