A5053282667- Stability and Controllability of Differential Equations
- Advanced Mathematical Physics Problems
- Ferroptosis and cancer prognosis
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- COVID-19 diagnosis using AI
- Lung Cancer Treatments and Mutations
- Anomaly Detection Techniques and Applications
- Liver Disease Diagnosis and Treatment
- Glioma Diagnosis and Treatment
- Explainable Artificial Intelligence (XAI)
- Augmented Reality Applications
- Occupational and environmental lung diseases
- Robotics and Sensor-Based Localization
- Medical Imaging and Pathology Studies
- Genetic factors in colorectal cancer
- Nonlinear Partial Differential Equations
- Gastric Cancer Management and Outcomes
- Hedgehog Signaling Pathway Studies
- Domain Adaptation and Few-Shot Learning
- Teaching and Learning Programming
- Hydrogels: synthesis, properties, applications
- Gastrointestinal Bleeding Diagnosis and Treatment
- Immune cells in cancer
- Cell Image Analysis Techniques
Baylor College of Medicine
2022-2024
Houston Institute for Clinical Research
2022-2024
108 Military Central Hospital
2021-2023
Vietnam National University Ho Chi Minh City
2021-2022
Ho Chi Minh City University of Technology
2022
Gran Sasso Science Institute
2018
Istituto Nazionale di Fisica Nucleare
2018
University of Ottawa
2017
Korea Advanced Institute of Science and Technology
2013-2014
Lung adenocarcinoma, the most common type of lung cancer, has a high level morphologic heterogeneity and is composed tumor cells multiple histological subtypes. It been reported that immune cell infiltration significantly impacts clinical outcomes patients with adenocarcinoma. However, it unclear whether histologic subtyping can reflect microenvironment, be applied for therapeutic stratification current standard care.We inferred levels using subtype-specific gene expression dataset. From...
In continual learning, understanding the properties of task sequences and their relationships to model performance is important for developing advanced algorithms with better accuracy. However, efforts in this direction remain underdeveloped despite encouraging progress methodology development. work, we investigate impacts sequence transferability on learning propose two novel measures that capture total a sequence, either forward or backward direction. Based empirical these measures, then...
Scientists are adopting new approaches to scale up their activities and goals. Progress in neurotechnologies, artificial intelligence, automation, tools for collaboration promises bursts of discoveries. However, compared other disciplines the industry, neuroscience laboratories have been slow adopt key technologies support collaboration, reproducibility, automation. Drawing on progress fields, we define a roadmap implementing automated research workflows diverse teams. We propose...
Abstract Malignant pleural mesothelioma (MPM) is a rare but lethal cancer with high intratumor heterogeneity (ITH). A recent study in lung adenocarcinoma has developed clonal gene signature (ORACLE) from multiregional transcriptomic data and demonstrated prognostic values reproducibility. However, such strategy not been tested other types of ITH. We aimed to identify biomarkers multi-regional prognostically stratify MPM patients. generated RNA-seq dataset for 78 tumor samples obtained 26...
Abstract From the end of 2019, one most serious and largest spread pandemics occurred in Wuhan (China) named Coronavirus (COVID-19). As reported by World Health Organization, there are currently more than 100 million infectious cases with an average mortality rate about five percent all over world. To avoid consequences on people’s lives economy, policies actions need to be suitably made time. do that, authorities know future trend development process this pandemic. This is reason why...
The packaging of genomic DNA into nucleosomes creates a barrier to transcription that can be relieved through ATP-dependent chromatin remodeling via complexes such as the switch-sucrose non-fermentable (SWI-SNF) complex. SWI-SNF complex remodels conformational or positional changes nucleosomes, thereby altering access transcriptional machinery target genes. has limited ability bind sequence-specific elements, and, therefore, its recruitment loci is believed require interaction with...
Gliomas make up ~80% of malignant brain tumors in adults and are responsible for the majority deaths from primary tumors. The glioma tumor microenvironment (TME) is a dynamic, heterogeneous mixture extracellular matrix non-malignant cells. Several ongoing clinical trials evaluating efficacy therapies that target cells, particularly immune Consequently, better understanding TME pertinent. We utilized several gene expression datasets to evaluate relationship between immune-related genes (IRGs)...
Untreated chronic hepatitis B virus (HBV) infection can lead to liver disease and may progress cirrhosis or hepatocellular carcinoma (HCC). HBV has been prevalent in Vietnam, but there is little information available on the genotypes, sub-genotypes, mutations of patients with HBV-related HCC confirmed by histopathological diagnosis. We studied molecular characteristics its genetic variants Vietnamese after tumor resection. conducted a descriptive cross-sectional study 107 hospitalized from...
This paper proposes a markerless tracking method with adaptive pose estimation for augmenting 3D organ models on top of the endoscopic image Endoscopic Retrograde Cholangiopancreatography (ERCP). While many applications augmented reality (AR) to surgeries need special markers track camera's position and orientation in live video, our employs feature detection techniques camera. One most difficult problems when applying feature-based AR ERCP is lack texture & highly specular reflection...
Artificial Intelligence (AI) in healthcare, especially white blood cell cancer diagnosis, is hindered by two primary challenges: the lack of large-scale labeled datasets for (WBC) segmentation and outdated methods. These challenges inhibit development more accurate modern techniques to diagnose relating cells. To address first challenge, a semi-supervised learning framework should be devised efficiently capitalize on scarcity dataset available. In this work, we issue proposing novel...
Lung Cancer remains the leading cause of cancer deaths in USA and worldwide. Non-small cell lung (NSCLC) harbors high transcriptomic intratumor heterogeneity (RNA-ITH) that limits reproducibility expression-based prognostic models. In this study, we used multiregional RNA-seq data (880 tumor samples from 350 individuals) both public (TRACERx) internal (MDAMPLC) cohorts to investigate effect RNA-ITH on prognosis localized NSCLC at gene, signature, microenvironment levels. At gene level,...
Abstract From the end of 2019, one most serious and largest spread pandemics occurred in Wuhan (China) named Coronavirus (COVID-19). As reported by World Health Organization, there are currently more than 100 million infectious cases with an average mortality rate about five percent all over world. To avoid consequences on people’s lives economy, policies actions need to be suitably made time. do that, authorities know future trend development process this pandemic. This is reason why...
This study examines the generality of easy to hard practice questions in programming subjects. One most important contributions is propose four new formulas for determining difficulty degree questions. These aim describe different aspects from learner's perspective instead instructor's subjective opinions. Then, we used clustering technique group into three easy, medium and difficult degrees. The results will be baseline consider exercise sets according each topic. proposed solution then...
Abstract Adjuvant chemotherapy of leucovorin‐modulated 5‐fluorouracil (5‐FU/LV), capecitabine, and adding oxaliplatin to 5‐FU/LV or capecitabine (FLOX/OX) have been standard regimens for high‐risk stage II III colon cancer (CC). We aimed evaluate their patterns use, association with survival, rate emergency room visit (ER) hospitalization during the treatment period. High‐risk patients aged >65 years diagnosed between 2007 2015, underwent colectomy, received any these three were selected...
Curcumin, a natural phenolic compound, is extracted from turmeric exhibiting several biomedical activities. Unfortunately, less aqueous solubility causesl drawback in medicinal application. This study introduces method order to produce biomaterial containing high content of curcumin nanoparticles, which can overcome curcumin’s poor dissolution and wound healing. uses thermo-reversible pluronic F127-grafted gelatin (GP) play the role as surfactant disperse protect nanocurcumin aggregation....
In this paper, we study the large-time behavior of solutions to a class partially dissipative linear hyperbolic systems with applications in, for instance, velocity-jump processes in several dimensions. Given integers $ n,d\ge 1 $, let \mathbf A: = (A^1,\dots,A^d)\in (\mathbb R^{n\times n})^d be matrix-vector and B\in \mathbb n} not necessarily symmetric but have one single eigenvalue zero, consider Cauchy problem n\times n having form\begin{document}$ \begin{equation*} \partial_{t}u+\mathbf...
Budd-Chiari syndrome (BCS) is a rare disorder caused by hepatic venous outflow obstruction that can lead to acute liver failure proposing transplantation or transjugular intrahepatic portosystemic shunt. However, the shunt not always successful due entire vein thrombosis while unfailingly feasible. In these situations, direct (DIPS) viable alternative may ameliorate portal hypertension in patients. We described case of 21-year-old male with fulminant owning BCS 4-day history abdominal pain...
Image-guided therapy (IGT) provides an image data (CT, MRI and PET) to overcome a deficiency of sight during operation by using augmented reality thus tracking performance is important. However, it difficult verify the in medical applications because makers which can detect pose registration cannot be attached patient's bodies. This paper proposes method for IGT shows one verification example. An experiment designed measure method. A 3D model manufactured based on CT images commercial haptic...
Abstract Introduction: Intratumor heterogeneity (ITH) describes the distinct tumor cell populations and microenvironments within same tumor, which may profoundly impact cancer evolution clinical outcomes. Non-small lung (NSCLC) is not only a genetically diverse disease but also has high transcriptomic (RNA-ITH). The RNA-ITH limits reproducibility of expression-based prognostic models, poorly understood. Methods: To address issue, we investigated effect on prognosis at both gene signature...