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Charlene H. Chu on Muck Rack

Charlene H. Chu

Toronto
As seen in: MSN, Color Research & Application, Nature, Wiley, Wiley Online Library, MDPI, Taylor & Francis Online, The Conversation, The Toronto Star, Barron's and
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Articles

A longitudinal geospatial multimodal dataset of post-discharge frailty, physiology, mobility, and neighborhoods

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By Ali Abedi, Charlene H. Chu, Shehroz S. Khan
| Nature Verified
Abstract Frailty in older adults is associated with increased vulnerability to functional decline, reduced mobility, social isolation, and challenges during the transition from hospital to community living. These factors are associated with rehospitalization and may adversely influence recovery. Neighborhood environments can further shape recovery trajectories by affecting mobility opportunities, social engagement, and access to community resources.
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Enhancing Learning in Graduate Nursing Education Through a Co-Designed AI Virtual Tutor: A Mixed-Methods Evaluation

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By Charlene H. Chu, Lawrence Bloomberg Faculty, Lindsay A. Jibb
| Wiley Online Library Verified
1 Introduction Artificial intelligence (AI) tools powered by large language models (LLMs) have entered higher education at an unprecedented pace since 2022 (Abdelwahab et al. 2025; Tillmanns et al. 2025). OpenAI's ChatGPT, Microsoft's Co-Pilot, and similar systems are increasingly used by university students to retrieve information, draft text, and generate explanations to facilitate learning, among other learning activities (Labadze et al. 2023).
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[2506.12156] Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models

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By Ali Abedi, Charlene H. Chu
| arXiv
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