Ho Quang Chanh
A5030268725- Mosquito-borne diseases and control
- Viral Infections and Vectors
- Malaria Research and Control
- Climate Change and Health Impacts
- Viral Infections and Outbreaks Research
- Respiratory Support and Mechanisms
- Vibrio bacteria research studies
- Intensive Care Unit Cognitive Disorders
- Long-Term Effects of COVID-19
- Travel-related health issues
- SARS-CoV-2 and COVID-19 Research
- COVID-19 epidemiological studies
- Non-Invasive Vital Sign Monitoring
- Diphtheria, Corynebacterium, and Tetanus
- Radiology practices and education
- Cell Image Analysis Techniques
- Vector-borne infectious diseases
- SARS-CoV-2 detection and testing
- Artificial Intelligence in Healthcare
- COVID-19 and Mental Health
- Biosensors and Analytical Detection
- Dengue and Mosquito Control Research
- Infective Endocarditis Diagnosis and Management
- COVID-19 Clinical Research Studies
- Sepsis Diagnosis and Treatment
Oxford University Clinical Research Unit
2020-2024
Hospital for Tropical Diseases
2022-2024
London School of Economics and Political Science
2022
The University of Tokyo
2022
Abstract Background One hundred days after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in Vietnam on 23 January, 270 cases were confirmed, with no deaths. We describe the control measures used by government and their relationship imported domestically acquired case numbers, aim of identifying associated successful SARS-CoV-2 control. Methods Clinical demographic data infected timing nature measures, including numbers tests quarantined individuals,...
Interpreting point-of-care lung ultrasound (LUS) images from intensive care unit (ICU) patients can be challenging, especially in low- and middle- income countries (LMICs) where there is limited training available. Despite recent advances the use of Artificial Intelligence (AI) to automate many imaging analysis tasks, no AI-enabled LUS solutions have been proven clinically useful ICUs, specifically LMICs. Therefore, we developed an AI solution that assists practitioners assessed its...
Identifying patients at risk of dengue shock syndrome (DSS) is vital for effective healthcare delivery. This can be challenging in endemic settings because high caseloads and limited resources. Machine learning models trained using clinical data could support decision-making this context.
Symptomatic dengue infection can result in a life-threatening shock syndrome and timely diagnosis is essential. Point-of-care tests for non-structural protein 1 IgM are used widely but performance be limited. We developed supervised machine learning model to predict whether patients with acute febrile illnesses had of or other (OFI). The impact seasonality on over time was examined.We analysed data from prospective observational clinical study Vietnam. Enrolled presented an illness <72 h...
Abstract The first nationwide outbreak of COVID-19 in Vietnam started late April 2021 and was caused almost exclusively by a single Delta lineage, AY.57. In early 2022, multiple Omicron variants co-circulated with quickly became dominant. co-circulation happened leading to possibility co-infection recombination events which can be revealed viral genomic data. From January October total 1028 RNA samples out 4852 positive (Ct < 30) were sequenced the long pooled amplicons method on Illumina...
<ns4:p><ns4:bold>Background:</ns4:bold> Dengue is a disease of major global importance. While most symptomatic infections are mild, small proportion patients progress to severe with risk hypovolaemic shock, organ dysfunction and death. In the absence effective antiviral or modifying drugs, clinical management solely reliant on supportive measures. Obesity growing problem among young people in Vietnam increasingly recognised as an important factor for dengue, likely due alterations host...
The project aims to reduce morbidity and mortality from Problem Direct application of digital health technologies high-income settings low-and middle-income countries may be inappropriate due challenges around data availability, implementation regulation.Hence different approaches are needed.Approach Within the Viet Nam ICU Translational Applications Laboratory project, since 2018 we have been developing a wearable device for individual patient monitoring clinical assessment tool improve...
Abstract Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as coma, can predict death, but they are insufficient for accurate prognosis other outcomes, especially when impacted by co-morbidities HIV infection. Brain magnetic resonance imaging (MRI) characterises extent and severity disease may enable more prediction complications poor outcomes. We analysed clinical brain MRI data from a prospective longitudinal study 216 adults with TBM; 73 (34%)...
Summary Dengue is a mosquito-borne virus infection affecting half of the world’s population for which therapies are lacking. The role T and NK-cells in protection/immunopathogenesis remains unclear dengue. We performed longitudinal phenotypic, functional transcriptional analyses 124 dengue patients using flow cytometry single-cell RNA-sequencing. show that T/NK-cell signatures early discriminate who will progress to severe (SD) from those do not. In with overweight/obesity these exacerbated...
Close vital signs monitoring is crucial for the clinical management of patients with dengue. We investigated performance a non-invasive wearable utilising photoplethysmography (PPG), to provide real-time risk prediction in hospitalised individuals. performed prospective observational study Vietnam between January 2020 and October 2022: 153 were included analyses, providing 1353 h PPG data. Using multi-modal transformer approach, 10-min waveform segments basic data (age, sex, features on...
Abstract Background Dengue shock syndrome (DSS) is one of the major clinical phenotypes severe dengue. It defined by significant plasma leak, leading to intravascular volume depletion and eventually cardiovascular collapse. The compensatory reserve Index (CRI) a new physiological parameter, derived from feature analysis pulse arterial waveform that tracks real-time changes in central volume. We investigated utility CRI predict recurrent dengue patients admitted ICU. Methods performed...
<ns4:p><ns4:bold>Background:</ns4:bold> Dengue is a disease of major global importance. While most symptomatic infections are mild, small proportion patients progress to severe with risk hypovolaemic shock, organ dysfunction and death. In the absence effective antiviral or modifying drugs, clinical management solely reliant on supportive measures. Obesity growing problem among young people in Vietnam increasingly recognised as an important factor for dengue, likely due alterations host...
Abstract Background Dengue is a common viral illness and severe disease results in life-threatening complications. Healthcare services low- middle-income countries treat the majority of dengue cases worldwide. However, clinical decision-making processes which result effective treatment are poorly characterised within this setting. In order to improve care through interventions relating digital decision-support systems (CDSS), we set out establish framework for management inform...
Background Increased data availability has prompted the creation of clinical decision support systems. These systems utilise information to enhance health care provision, both predict likelihood specific outcomes or evaluate risk further complications. However, their adoption remains low due concerns regarding quality recommendations, and a lack clarity on how results are best obtained presented. Methods We used autoencoders capable reducing dimensionality complex datasets in order produce...
Abstract Background Dengue is a neglected tropical disease, for which no therapeutic agents have shown clinical efficacy to date. Clinical trials used strikingly variable endpoints, hampers reproducibility and comparability of findings. We investigated delta modified Sequential Organ Failure Assessment (delta mSOFA) score as uniform composite endpoint use in investigating therapeutics moderate severe dengue. Methods developed SOFA dengue, measured evaluated its performance at baseline 48 h...
Glycocalyx disruption and hyperinflammatory responses are implicated in the pathogenesis of dengue-associated vascular leak, however little is known about their association with clinical outcomes patients dengue shock syndrome (DSS). We investigated inflammatory biomarkers correlations markers leakage. performed a prospective cohort study Viet Nam. Children ≥5 years age diagnosis DSS were enrolled into this study. Blood samples taken daily during ICU stay 7-10 days after hospital discharge...
Muscle ultrasound has been shown to be a valid and safe imaging modality assess muscle wasting in critically ill patients the intensive care unit (ICU). This typically involves manual delineation measure rectus femoris cross-sectional area (RFCSA), which is subjective, time-consuming, laborious task that requires significant expertise. We aimed develop evaluate an AI tool performs automated recognition measurement of RFCSA support non-expert operators using ultrasound. Twenty were recruited...
This article summarises a recent virtual meeting organised by the Oxford University Clinical Research Unit in Vietnam on topic of climate change and health, bringing local partners, faculty external collaborators together from across Wellcome networks. Attendees included invited global scientists, clinicians, modelers, epidemiologists community engagement practitioners, with view to setting priorities, identifying synergies fostering collaborations help define regional health research...
<ns3:p>This article summarises a recent virtual meeting organised by the Oxford University Clinical Research Unit in Vietnam on topic of climate change and health, bringing local partners, faculty external collaborators together from across Wellcome networks. Attendees included invited global scientists, clinicians, modelers, epidemiologists community engagement practitioners, with view to setting priorities, identifying synergies fostering collaborations help define regional health research...
<ns3:p>This article summarises a recent virtual meeting organised by the Oxford University Clinical Research Unit in Vietnam on topic of climate change and health, bringing local partners, faculty external collaborators together from across Wellcome networks. Attendees included invited global scientists, clinicians, modelers, epidemiologists community engagement practitioners, with view to setting priorities, identifying synergies fostering collaborations help define regional health research...