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Publications

Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit.

Nhat PTH. et al, (2023), Critical care (London, England), 27

A Multi-Site, Multi-Wavelength PPG Platform for Continuous Non-Invasive Health Monitoring in Hospital Settings.

Karolcik S. et al, (2023), IEEE transactions on biomedical circuits and systems, 17, 349 - 361

Early diagnostic indicators of dengue versus other febrile illnesses in Asia and Latin America (IDAMS study): a multicentre, prospective, observational study.

Rosenberger KD. et al, (2023), The Lancet. Global health, 11, e361 - e372

Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools.

Nguyen QH. et al, (2023), BMC medical informatics and decision making, 23

Genome evolution of dengue virus serotype 1 under selection by Wolbachia pipientis in Aedes aegypti mosquitoes

Thi Hue Kien D. et al, (2023), Virus Evolution, 9

Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness.

Hernandez B. et al, (2023), Frontiers in digital health, 5

A modified Sequential Organ Failure Assessment score for dengue: development, evaluation and proposal for use in clinical trials

McBride A. et al, (2022), BMC Infectious Diseases, 22

The compensatory reserve index predicts recurrent shock in patients with severe dengue.

Trieu HT. et al, (2022), BMC medicine, 20

Hyperinflammatory syndrome, natural killer cell function and genetic polymorphisms in the pathogenesis of severe dengue.

Vuong NL. et al, (2022), The Journal of infectious diseases

Novel Clinical Monitoring Approaches for Reemergence of Diphtheria Myocarditis, Vietnam.

Chanh HQ. et al, (2022), Emerging infectious diseases, 28, 282 - 290

Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam.

Ming DK. et al, (2022), PLOS Digit Health, 1

Direct Medical Costs of Tetanus, Dengue, and Sepsis Patients in an Intensive Care Unit in Vietnam.

Hung TM. et al, (2022), Frontiers in public health, 10

The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality.

Ming DK. et al, (2022), Frontiers in digital health, 4

B-Line Detection and Localization in Lung Ultrasound Videos Using Spatiotemporal Attention

Kerdegari H. et al, (2021), APPLIED SCIENCES-BASEL, 11

Transaminases and serum albumin as early predictors of severe dengue - Authors' reply.

Sangkaew S. et al, (2021), The Lancet. Infectious diseases, 21, 1489 - 1490

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Abdukahil SA. et al, (2021), Infection, 49, 889 - 905

Digital and technological innovation in vector-borne disease surveillance to predict, detect, and control climate-driven outbreaks.

Pley C. et al, (2021), The Lancet. Planetary health, 5, e739 - e745

Risk predictors of progression to severe disease during the febrile phase of dengue: a systematic review and meta-analysis.

Sangkaew S. et al, (2021), Lancet Infect Dis, 21, 1014 - 1026

Targeting hyperinflammation in infection: can we harness the COVID-19 therapeutics momentum to end the dengue drugs drought?

McBride A. et al, (2021), The Lancet. Microbe, 2, e277 - e278

Combination of inflammatory and vascular markers in the febrile phase of dengue is associated with more severe outcomes

Vuong NL. et al, (2021), eLife, 10

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