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Ho Quang Chanh on Muck Rack

Ho Quang Chanh

As seen in: Emerging Infectious Diseases, Nature, PLOS
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Articles

An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data

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By Ngan Nguyen Lyle, Ho Quang Chanh, James Anibal, Hao Nguyen Van
| PLOS
Citation: Lyle NN, Chanh HQ, Nguyen Van H, Anibal J, Karolcik S, Ming D, et al. (2025) An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data. PLOS Digit Health 4(7): e0000924. https://doi.org/10.1371/journal.pdig.0000924 Editor: Daniel B. Forger, University of Michigan, UNITED STATES OF AMERICA Received: October 5, 2024; Accepted: June 16, 2025; Published: July 18, 2025 Copyright: © 2025 Lyle et al.
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Safety and tolerability of metformin in overweight and obese patients with dengue: An open-label clinical trial (MeDO)

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By nguyet nguyen, Ho Quang Chanh, Huynh Trung Trieu, Nguyen Van
| PLOS
Citation: Minh Nguyen N, Thi Hoai Tam D, Quang Chanh H, Trung Trieu H, Thi Xuan Chau N, Thanh Van N, et al. (2025) Safety and tolerability of metformin in overweight and obese patients with dengue: An open-label clinical trial (MeDO). PLoS Negl Trop Dis 19(7): e0013281.
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Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring - npj Digital Medicine

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By John Daniels, Ho Quang Chanh, Stefan Karolcik, Bernard Hernandez, Huynh Trung Trieu, Alison Holmes, Pantelis Georgiou, Sophie Yacoub, Damien Keng Ming, Vasileios Manginas
| Nature Verified
Abstract Close vital signs monitoring is crucial for the clinical management of patients with dengue. We investigated performance of a non-invasive wearable utilising photoplethysmography (PPG), to provide real-time risk prediction in hospitalised individuals. We performed a prospective observational clinical study in Vietnam between January 2020 and October 2022: 153 patients were included in analyses, providing 1353 h of PPG data.
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