Search Results - "Do, Trang T. T."
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Multitask Learning on Graph Convolutional Residual Neural Networks for Screening of Multitarget Anticancer Compounds
Published in Journal of chemical information and modeling (23-09-2024)“…Recently, various modern experimental screening pipelines and assays have been developed to find promising anticancer drug candidates. However, it is…”
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Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers
Published in Journal of chemical information and modeling (14-11-2022)“…Malaria is a threatening disease that has claimed many lives and has a high prevalence rate annually. Through the past decade, there have been many studies to…”
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An efficient hybrid deep learning architecture for predicting short antimicrobial peptides
Published in Proteomics (Weinheim) (01-07-2024)“…Short‐length antimicrobial peptides (AMPs) have been demonstrated to have intensified antimicrobial activities against a wide spectrum of microbes. Therefore,…”
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Sustainable Model for Public Health Emergency Operations Centers for Global Settings
Published in Emerging infectious diseases (01-12-2017)“…Capacity to receive, verify, analyze, assess, and investigate public health events is essential for epidemic intelligence. Public health Emergency Operations…”
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5
iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks
Published in BMC genomics (24-12-2019)“…Enhancers are non-coding DNA fragments which are crucial in gene regulation (e.g. transcription and translation). Having high locational variation and free…”
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iNSP‐GCAAP: Identifying nonclassical secreted proteins using global composition of amino acid properties
Published in Proteomics (Weinheim) (01-01-2023)“…Nonclassical secreted proteins (NSPs) refer to a group of proteins released into the extracellular environment under the facilitation of different biological…”
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Event-Based Surveillance at Community and Healthcare Facilities, Vietnam, 2016–2017
Published in Emerging infectious diseases (01-09-2018)“…Surveillance and outbreak reporting systems in Vietnam required improvements to function effectively as early warning and response systems. Accordingly, the…”
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Testing early warning and response systems through a full-scale exercise in Vietnam
Published in BMC public health (26-02-2021)“…Simulation exercises can functionally validate World Health Organization (WHO) International Health Regulations (IHR 2005) core capacities. In 2018, the…”
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iPseU-NCP: Identifying RNA pseudouridine sites using random forest and NCP-encoded features
Published in BMC genomics (30-12-2019)“…Pseudouridine modification is most commonly found among various kinds of RNA modification occurred in both prokaryotes and eukaryotes. This biochemical event…”
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Developing monitoring and evaluation tools for event-based surveillance: experience from Vietnam
Published in Globalization and health (30-04-2020)“…In 2016-2017, Vietnam's Ministry of Health (MoH) implemented an event-based surveillance (EBS) pilot project in six provinces as part of Global Health Security…”
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Financial struggles and coping with the aftermath of breast cancer care: An ethnographic study in Vietnam
Published in Social science & medicine (1982) (01-11-2024)“…Breast cancer, the most common cancer diagnosed among women, disproportionately affects low- and middle-income countries (LMICs). Based on an ethnographic…”
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Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records
Published in Computer methods and programs in biomedicine (01-12-2019)“…•Information from electronic health records can be used to help us understand what contributes to the onset of diseases including type 2 diabetes…”
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ResGAT: Residual Graph Attention Networks for molecular property prediction
Published in Memetic computing (01-09-2024)“…Molecular property prediction is an important step in the drug discovery pipeline. Numerous computational methods have been developed to predict a wide range…”
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14
Two New Sesquiterpene Glycosides from Fissistigma balansae Merr
Published in Natural product communications (01-05-2023)“…Objective Plants of Fissistigma balansae have been used for the treatment of stomachache in Vietnamese traditional medicinal remedies. This study reports 2 new…”
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15
Bone age assessment and sex determination using transfer learning
Published in Expert systems with applications (15-08-2022)“…Bone age is an important index in the measurement of the biological maturity in children. Although many machine learning methods have been developed to…”
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Identifying Transcription Factors That Prefer Binding to Methylated DNA Using Reduced G‑Gap Dipeptide Composition
Published in ACS omega (13-09-2022)“…Transcription factors (TFs) play an important role in gene expression and regulation of 3D genome conformation. TFs have ability to bind to specific DNA…”
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eMIC-AntiKP: Estimating minimum inhibitory concentrations of antibiotics towards Klebsiella pneumoniae using deep learning
Published in Computational and structural biotechnology journal (01-01-2023)“…Nowadays, antibiotic resistance has become one of the most concerning problems that directly affects the recovery process of patients. For years, numerous…”
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Event-Based Surveillance at Community and Healthcare Facilities, Vietnam, 2016-2017
Published in Emerging infectious diseases (01-09-2018)“…Surveillance and outbreak reporting systems in Vietnam required improvements to function effectively as early warning and response systems. Accordingly, the…”
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Journal Article -
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Factors Influencing Community Event-based Surveillance: Lessons Learned from Pilot Implementation in Vietnam
Published in Health security (01-12-2018)“…Community event-based surveillance aims to enhance the early detection of emerging public health threats and thus build health security. The Ministry of Health…”
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Heart Disease Classification using Novel Heterogeneous Ensemble
Published in 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (27-07-2021)“…Heart disease diagnosis requires substantial effort from medical professionals. To efficiently predict the prevalence of heart disease, researchers have turned…”
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