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151 results on '"Huang, Yen-Hsiang"'

1. Sensing Antibiotics in Wastewater Using Surface-Enhanced Raman Scattering

Author

Huang, Yen-Hsiang, Wei, Hong, Santiago, Peter J, Thrift, William John, Ragan, Regina, and Jiang, Sunny

Subjects
Chemical Engineering, Engineering, Chemical Sciences, Bioengineering, Nanotechnology, Wastewater, Spectrum Analysis, Raman, Metal Nanoparticles, Limit of Detection, Gold, quinoline, SERS, Self-Assembled SERS substrate, SERStrate, Environmental Sciences
Abstract

Rapid and cost-effective detection of antibiotics in wastewater and through wastewater treatment processes is an important first step in developing effective strategies for their removal. Surface-enhanced Raman scattering (SERS) has the potential for label-free, real-time sensing of antibiotic contamination in the environment. This study reports the testing of two gold nanostructures as SERS substrates for the label-free detection of quinoline, a small-molecular-weight antibiotic that is commonly found in wastewater. The results showed that the self-assembled SERS substrate was able to quantify quinoline spiked in wastewater with a lower limit of detection (LoD) of 5.01 ppb. The SERStrate (commercially available SERS substrate with gold nanopillars) had a similar sensitivity for quinoline quantification in pure water (LoD of 1.15 ppb) but did not perform well for quinoline quantification in wastewater (LoD of 97.5 ppm) due to interferences from non-target molecules in the wastewater. Models constructed based on machine learning algorithms could improve the separation and identification of quinoline Raman spectra from those of interference molecules to some degree, but the selectivity of SERS intensification was more critical to achieve the identification and quantification of the target analyte. The results of this study are a proof-of-concept for SERS applications in label-free sensing of environmental contaminants. Further research is warranted to transform the concept into a practical technology for environmental monitoring.

Published
2023

2. Decoding the metabolic response of Escherichia coli for sensing trace heavy metals in water

Author

Wei, Hong, Huang, Yixin, Santiago, Peter J, Labachyan, Khachik E, Ronaghi, Sasha, Magana, Martin Paul Banda, Huang, Yen-Hsiang, Jiang, Sunny C, Hochbaum, Allon I, and Ragan, Regina

Subjects
Environmental Sciences, Pollution and Contamination, Humans, Animals, Environmental Monitoring, Escherichia coli, Metals, Heavy, Water Quality, Agriculture, Water Pollutants, Chemical, bacterial metabolism, environmental sensors, machine learning, vibrational spectroscopy
Abstract

Heavy metal contamination due to industrial and agricultural waste represents a growing threat to water supplies. Frequent and widespread monitoring for toxic metals in drinking and agricultural water sources is necessary to prevent their accumulation in humans, plants, and animals, which results in disease and environmental damage. Here, the metabolic stress response of bacteria is used to report the presence of heavy metal ions in water by transducing ions into chemical signals that can be fingerprinted using machine learning analysis of vibrational spectra. Surface-enhanced Raman scattering surfaces amplify chemical signals from bacterial lysate and rapidly generate large, reproducible datasets needed for machine learning algorithms to decode the complex spectral data. Classification and regression algorithms achieve limits of detection of 0.5 pM for As3+ and 6.8 pM for Cr6+, 100,000 times lower than the World Health Organization recommended limits, and accurately quantify concentrations of analytes across six orders of magnitude, enabling early warning of rising contaminant levels. Trained algorithms are generalizable across water samples with different impurities; water quality of tap water and wastewater was evaluated with 92% accuracy.

Published
2023

4. Taiwanese junior high school 'new second generation' students : a qualitative investigation of their schooling experiences

Author

Huang, Yen-Hsiang, Gewirtz, Sharon Josie, and de St Croix, Tania

Abstract

This thesis explores the experiences of junior high school 'new second generation' (NSG) students in Taiwan through the lens of social justice theories, and makes recommendations regarding how to support and enhance their education. In doing so, the thesis responds to the lack of literature on, and offers a comprehensive understanding of, the challenges and injustices these students encounter in schools in ways that consider the voices of NSG students, their peers of 'local Taiwanese' parents, and their teachers. By engaging with these voices, this study contributes a fresh perspective that identifies the tensions and dilemmas that surround the supportive measures that are designed to help NSG students but may place them in a difficult position. This study foregrounds the voices of NSG students, which is rarely done in the field of Taiwanese education research. Taking a qualitative approach, I conducted semi-structured interviews with 31 junior high school students and 17 teachers. Participants were selected from various schools and reflected different perspectives and views. The theoretical frame for this work derives from social justice theory, which is also applied in my data analysis. Drawing on the three key dimensions of social justice identified by Fraser (1997), namely the distributive, cultural and representational dimensions of social justice, I consider whether NSG students are treated justly in terms of distribution, recognition and representation. This study also draws on three aspects of Young's (1990) five faces of oppression, namely marginalisation, cultural imperialism, and violence, as these are most relevant to conceptualising these students' experiences. The findings suggest that NSG students are subject to labelling and microaggressions and positioned as 'deficient'. They point to different kinds of dilemmas and tensions that may occur when considering what is being and can be done to facilitate the education of NSG students. In particular, the thesis foregrounds the redistribution-recognition dilemma, arising from the tension between recognising and minimising group differences, and the dilemma of how far to engage with the full complexity of learners' identities versus how far to categorise them. These dilemmas and tensions all fit within the overarching dilemma of whether to treat 'new second generation' students as being the same as other students or as being different. The final set of findings relates to the supportive measurements that have been or could be deployed to support NSG students. As teachers play a critical role in schools, it is important to prepare and support teachers to understand and consider what NSG students need to improve their education. Teachers also need to be more sensitive and reflexive regarding the inequalities and injustices that NSG students and their 'new immigrant' mothers have experienced. The study concludes by discussing some of the limitations of the research, considering its implications for policy and practice and suggesting some ways that the educational progression of new second generation children in Taiwan can be enhanced.

Published
2022

5. Development of Rapid and Portable Detection Methods for Antibiotics, Viruses, and Antibiotic-Resistant Bacteria in Wastewater

Author

Huang, Yen Hsiang

Subjects
Environmental engineering, Antibiotic, Antibiotic-resistant bacteria, Centrifugal microfluidics, SERS, Virus
Abstract

Antibiotic resistance has emerged as a critical global health threat in the 21st century, leading to untreatable infectious diseases and significantly increasing human morbidity and mortality. Rapid, portable, and user-friendly detection of antibiotics, microbial pathogens, and antibiotic-resistant organisms in aquatic environment plays a key role in controlling the spread of diseases and combating the emergence of antibiotic resistance. Unfortunately, current environmental monitoring practices are tedious, expensive and slow. These limitations impede timely detection and response to emerging threats, allowing the spread of diseases and antibiotic-resistant pathogens to human populations. This dissertation research aims to develop environmental monitoring strategies that streamline the current monitoring timeline and make it accessible to a wider range of users. This effort will contribute to more frequent and efficient monitoring of antibiotics, microbial pathogens, and antibiotic-resistant organisms in water matrices. Through this research, I first investigated the application of Surface Enhanced Raman Scattering (SERS) for label-free monitoring of antibiotics in wastewater. By utilizing carefully designed SERS substrates and artificial intelligence (AI) algorithms, I successfully quantified the target antibiotics even in the presence of other organic and inorganic molecules in wastewater. Next, I developed a portable and semi-automatic virus detection centrifugal microfluidic disc (CD) that integrates sample concentration, purification, amplification, and quantification steps for environmental water monitoring. The on-CD assay is completed in less than 1.5 hours, and its performance is comparable to that of the benchtop in-tube assay. Lastly, building upon the foundation of the virus detection CD system, I further designed a microfluidic CD that integrates the phenotypic bacterial culture with genotypic pathogen identification for monitoring of antibiotic resistant bacteria. This CD system successfully detected indigenous antibiotic-resistant bacteria in raw wastewater in under 3 hours. This dissertation serves as an important foundation for developing more advanced, field-applicable techniques and methodologies in environmental monitoring.

Published
2024

6. Quantifying the risk of indoor drainage system in multi-unit apartment building as a transmission route of SARS-CoV-2

Author

Shi, Kuang-Wei, Huang, Yen-Hsiang, Quon, Hunter, Ou-Yang, Zi-Lu, Wang, Chengwen, and Jiang, Sunny C

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Infectious Diseases, Vaccine Related, Prevention, Biodefense, Emerging Infectious Diseases, Lung, Aetiology, 2.2 Factors relating to the physical environment, Infection, Good Health and Well Being, Aerosols, COVID-19, Humans, Pandemics, Risk Assessment, SARS-CoV-2, Aerosol transmission, Indoor drainage system, QMRA, Toilet flushing, Environmental Sciences
Abstract

The COVID-19 pandemic has had a profound impact on human society. The isolation of SARS-CoV-2 from patients' feces on human cell line raised concerns of possible transmission through human feces including exposure to aerosols generated by toilet flushing and through the indoor drainage system. Currently, routes of transmission, other than the close contact droplet transmission, are still not well understood. A quantitative microbial risk assessment was conducted to estimate the health risks associated with two aerosol exposure scenarios: 1) toilet flushing, and 2) faulty connection of a floor drain with the building's main sewer pipe. SARS-CoV-2 data were collected from the emerging literature. The infectivity of the virus in feces was estimated based on a range of assumption between viral genome equivalence and infectious unit. The human exposure dose was calculated using Monte Carlo simulation of viral concentrations in aerosols under each scenario and human breathing rates. The probability of COVID-19 illness was generated using the dose-response model for SARS-CoV-1, a close relative of SARS-CoV-2, that was responsible for the SARS outbreak in 2003. The results indicate the median risks of developing COVID-19 for a single day exposure is 1.11 × 10-10 and 3.52 × 10-11 for toilet flushing and faulty drain scenario, respectively. The worst case scenario predicted the high end of COVID-19 risk for the toilet flushing scenario was 5.78 × 10-4 (at 95th percentile). The infectious viral loads in human feces are the most sensitive input parameter and contribute significantly to model uncertainty.

Published
2021

7. Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX

Author

Huang, Yi-Wei, Chuang, Tzu-Kuan, Lin, Ni-Ching, Hsiao, Yu-Chieh, Chen, Pin-Wei, Hung, Ching-Tang, Liu, Shih-Hsing, Chen, Hsiao-Sheng, Hsieh, Ya-Hsiu, Huang, Yen-Hsiang, Chen, Yu-Xuan, Chen, Kuan-Lin, Lan, Ya-Jou, Hsu, Chao-Chun, Lin, Chun-Yi, Li, Jhih-Ying, Huang, Jui-Te, Menn, Yu-Jen, Lim, Sin-Kiat, Lua, Kim-Boon, Tsai, Chia-Hung Dylan, Chen, Chi-Fang, and Wang, Hsueh-Cheng

Subjects
Computer Science - Robotics
Abstract

Robotic software and hardware systems of autonomous surface vehicles have been developed in transportation, military, and ocean researches for decades. Previous efforts in RobotX Challenges 2014 and 2016 facilitates the developments for important tasks such as obstacle avoidance and docking. Team NCTU is motivated by the AI Driving Olympics (AI-DO) developed by the Duckietown community, and adopts the principles to RobotX challenge. With the containerization (Docker) and uniformed AI agent (with observations and actions), we could better 1) integrate solutions developed in different middlewares (ROS and MOOS), 2) develop essential functionalities of from simulation (Gazebo) to real robots (either miniaturized or full-sized WAM-V), and 3) compare different approaches either from classic model-based or learning-based. Finally, we setup an outdoor on-surface platform with localization services for evaluation. Some of the preliminary results will be presented for the Team NCTU participations of the RobotX competition in Hawaii in 2018.

Published
2019

10. On Legalization of Die Bonding Bumps and Pads for 3-D ICs

Author

Huang, Yen-Hsiang, Pentapati, Sai, Agnesina, Anthony, Brunion, Moritz, and Lim, Sung Kyu

Abstract

As state-of-the-art 3-D IC place-and-route flows were designed with older technology nodes and aggressive bonding pitch assumptions, they introduce an unacceptable number of 3-D via overlap violations during routing in real-world scenarios. Specifically, when dealing with higher via pitch to wire size ratios using more advanced technology nodes than they were designed for, these flows struggle to comply with width and spacing rules. In this article, we propose a novel 3-D via legalization stage and a subsequent refinement stage during routing to address this issue. Two independent via legalization methods are introduced: a force-based algorithm and a bipartite-matching algorithm with Bayesian optimization. Our two legalization methods, along with the refinement stage, are compatible with various process nodes, bonding technologies, and partitioning styles. By implementing the modified 3-D routing with the proposed legalizers, we successfully eliminate all 3-D via overlap violations while minimizing the impact on performance, power, or area.

Published
2024
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13. Primary tumor consolidative therapy improves the outcomes of patients with advanced EGFR-mutant lung adenocarcinoma treated with first-line osimertinib

Author

Wu, Jia-Jun, primary, Tseng, Jeng-Sen, additional, Zheng, Zhe-Rong, additional, Chu, Cheng-Hsiang, additional, Chen, Kun-Chieh, additional, Lin, Mong-Wei, additional, Huang, Yen-Hsiang, additional, Hsu, Kuo-Hsuan, additional, Yang, Tsung-Ying, additional, Yu, Sung-Liang, additional, Chen, Jin-Shing, additional, Ho, Chao-Chi, additional, and Chang, Gee-Chen, additional

Published
2024
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21. Adjuvant chemotherapy compared with observation in patients with T2aN0 stage IB lung adenocarcinoma

Author

Lee, Po-Hsin, primary, Chiang, Chun-Ju, additional, Tseng, Jeng-Sen, additional, Zheng, Zhe-Rong, additional, Chen, Kun-Chieh, additional, Chu, Cheng-Hsiang, additional, Huang, Yen-Hsiang, additional, Hsu, Kuo-Hsuan, additional, Lee, Wen-Chung, additional, Yang, Tsung-Ying, additional, Liu, Tsang-Wu, additional, Hsia, Jiun-Yi, additional, and Chang, Gee-Chen, additional

Published
2023
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22. The Role of Neutrophil-to-Lymphocyte Ratio in Advanced EGFR-Mutant NSCLC Patients Treated with First-Line Osimertinib

Author

Chen,Kuan-Chih, Huang,Yen-Hsiang, Hsu,Kuo-Hsuan, Tseng,Jeng-Sen, Chang,Gee-Chen, Yang,Tsung-Ying, Chen,Kuan-Chih, Huang,Yen-Hsiang, Hsu,Kuo-Hsuan, Tseng,Jeng-Sen, Chang,Gee-Chen, and Yang,Tsung-Ying

Abstract

Kuan-Chih Chen,1,* Yen-Hsiang Huang,1– 3,* Kuo-Hsuan Hsu,3,4 Jeng-Sen Tseng,1– 3,5,6 Gee-Chen Chang,6– 9 Tsung-Ying Yang1,3,10 1Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan; 2College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; 3Lung Cancer Comprehensive Care and Research Center, Taichung Veterans General Hospital, Taichung, Taiwan; 4Division of Critical Care and Respiratory Therapy, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan; 5Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan; 6Institute of Biomedical Sciences, National Chung Hsing University, Taichung, Taiwan; 7Division of Pulmonary Medicine, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan; 8School of Medicine, Chung Shan Medical University, Taichung, Taiwan; 9Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan; 10Department of Life Sciences, National Chung Hsing University, Taichung, Taiwan*These authors contributed equally to this workCorrespondence: Jeng-Sen Tseng, Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, No. 1650, Sect. 4, Taiwan Boulevard, Taichung, 407, Taiwan, Tel +886-4-23592525, ext. 3232, Fax +886-4-23741320, Email tzeng64@gmail.comPurpose: Although serum neutrophil-to-lymphocyte ratio (NLR) is correlated with the outcome of various cancer types, its role in treatment-naïve, advanced, epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) patients treated with osimertinib remains uncertain. We have the intention to use this biomarker to evaluate the outcomes in NSCLC.Patients and Methods: Advanced EGFR-mutant NSCLC patients receiving osimertinib as the first-line treatment were included. We evaluated the prognostic role of baseline NL

Published
2023

30. Influence of the Timing of Leptomeningeal Metastasis on the Outcome of EGFR-Mutant Lung Adenocarcinoma Patients and Predictors of Detectable EGFR Mutations in Cerebrospinal Fluid

Author

Liao, Pei-Ya, primary, Ou, Wei-Fan, additional, Su, Kang-Yi, additional, Sun, Ming-Hsi, additional, Huang, Chih-Mei, additional, Chen, Kun-Chieh, additional, Hsu, Kuo-Hsuan, additional, Yu, Sung-Liang, additional, Huang, Yen-Hsiang, additional, Tseng, Jeng-Sen, additional, Yang, Tsung-Ying, additional, and Chang, Gee-Chen, additional

Published
2022
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33. Multi-Function High-Power Converters for Smart-Grid Applications

Author

Wu Tsai-Fu, Huang Yen-Hsiang, and Lin Ting-Hung

Subjects
Environmental sciences, GE1-350
Abstract

High penetration of green energy has driven conventional utility grids into smart grids to accommodate dc appliances and various types of dc equipment, increasing effectiveness, efficiency, and resilience. In a smart grid, ac is harmonized with dc, and therefore, a multi-function converter is required to transfer power between ac and dc grids. This paper presents system configuration, operational principle and control of multi-function high-power converters for smart-grid applications. Simulated and experimental results from a 350 kVA converter are used to verify the feasibility of the proposed system configuration and control.

Published
2018
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36. Reactivation of Hepatitis B Virus in Lung Cancer Patients Receiving Tyrosine Kinase Inhibitor Treatment.

Author

Lee, Po-Hsin, Huang, Yen-Hsiang, Hsu, Yu-Wei, Chen, Kun-Chieh, Hsu, Kuo-Hsuan, Lin, Ho, Lee, Teng-Yu, Tseng, Jeng-Sen, Chang, Gee-Chen, and Yang, Tsung-Ying

Subjects
*HEPATITIS B virus, *PROTEIN-tyrosine kinase inhibitors, *DISEASE risk factors, *CANCER patients, *LUNG cancer
Abstract

(1) Background: We aimed to evaluate the risk of hepatitis B virus (HBV) reactivation in lung cancer patients treated with tyrosine kinase inhibitor (TKI), particularly in those with resolved HBV infection. (2) Methods: In this retrospective hospital-based cohort study, we screened all lung cancer patients with positive hepatitis B core antibodies (anti-HBc) receiving systemic antineoplastic treatment during the period from January 2011 to December 2020. Cumulative incidences of HBV reactivation, and their hazard ratios (HRs), were evaluated after adjusting patient mortality as a competing risk. (3) Results: Among 1960 anti-HBc-positive patients receiving systemic therapy, 366 were HBsAg-positive and 1594 were HBsAg-negative. In HBsAg-positive patients without prophylactic NUC, 3-year cumulative incidences of HBV reactivation were similar between patients receiving chemotherapy and patients receiving TKI (15.0%, 95% confidence interval (CI): 0–31.2% vs. 21.2%, 95% CI: 10.8–31.7%; p = 0.680). Likewise, 3-year cumulative incidences of HBV-related hepatitis were similar between the two groups (chemotherapy vs. TKI: 15.0%, 95% CI: 0–31.2% vs. 9.3%, 95% CI: 2.8–15.7%; p = 0.441). In 521 HBsAg-negative TKI users, the 3-year cumulative incidence of HBV reactivation was only 0.6% (95% CI: 0.0–1.9%). From multivariable regression analysis, we found that the only independent risk factor for HBV reactivation in TKI users was HBsAg positivity (HR 53.8, 95% CI: 7.0–412.9; p < 0.001). (4) Conclusion: Due to high risks of HBV reactivation in HBsAg-positive TKI users, NUC prophylaxis can be considered. However, in patients with resolved HBV infection, such risks are lower, and therefore regular monitoring is recommended. [ABSTRACT FROM AUTHOR]

Published
2023
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39. Primary Tumor Radiotherapy During EGFR-TKI Disease Control Improves Survival of Treatment Naïve Advanced EGFR-Mutant Lung Adenocarcinoma Patients

Author

Hsu,Kuo-Hsuan, Huang,Jing-Wen, Tseng,Jeng-Sen, Chen,Kuan-Wen, Weng,Yih-Chyang, Yu,Sung-Liang, Yang,Tsung-Ying, Huang,Yen-Hsiang, Chen,Jeremy JW, Chen,Kun-Chieh, Chang,Gee-Chen, Hsu,Kuo-Hsuan, Huang,Jing-Wen, Tseng,Jeng-Sen, Chen,Kuan-Wen, Weng,Yih-Chyang, Yu,Sung-Liang, Yang,Tsung-Ying, Huang,Yen-Hsiang, Chen,Jeremy JW, Chen,Kun-Chieh, and Chang,Gee-Chen

Abstract

Kuo-Hsuan Hsu,1,2,* Jing-Wen Huang,2,3,* Jeng-Sen Tseng,2,4,5 Kuan-Wen Chen,6 Yih-Chyang Weng,7 Sung-Liang Yu,8– 12 Tsung-Ying Yang,4,5 Yen-Hsiang Huang,2,4 Jeremy JW Chen,2 Kun-Chieh Chen,4,13– 15 Gee-Chen Chang2,4,5,13– 15 1Division of Critical Care and Respiratory Therapy, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan; 2Institute of Biomedical Sciences, College of Life Sciences, National Chung Hsing University, Taichung, Taiwan; 3Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung, Taiwan; 4Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan; 5Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan; 6Department of Radiation Oncology, Taichung Tzu-Chi Hospital, Buddhist Tzu-Chi Medical Foundation, Taichung, Taiwan; 7Radiation Oncology, Nantou Hospital of Ministry of Health and Welfare, Nantou City, Taiwan; 8Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan; 9Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan; 10Center of Genomic Medicine, National Taiwan University College of Medicine, Taipei, Taiwan; 11Department of Pathology and Graduate Institute of Pathology, College of Medicine, National Taiwan University, Taipei, Taiwan; 12Center for Optoelectronic Biomedicine, College of Medicine, National Taiwan University, Taipei, Taiwan; 13Division of Pulmonary Medicine, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan; 14Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan; 15School of Medicine, Chung Shan Medical University, Taichung, Taiwan*These authors contributed equally to this workCorrespondence: Gee-Chen Chang; Kun-Chieh ChenDivision of Pulmonary Medicine, Department of Internal Medicine, Chung Shan

Published
2021

40. Primary Tumor Radiotherapy During EGFR-TKI Disease Control Improves Survival of Treatment Naïve Advanced EGFR-Mutant Lung Adenocarcinoma Patients

Author

Hsu, Kuo-Hsuan, primary, Huang, Jing-Wen, additional, Tseng, Jeng-Sen, additional, Chen, Kuan-Wen, additional, Weng, Yih-Chyang, additional, Yu, Sung-Liang, additional, Yang, Tsung-Ying, additional, Huang, Yen-Hsiang, additional, Chen, Jeremy JW, additional, Chen, Kun-Chieh, additional, and Chang, Gee-Chen, additional

Published
2021
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41. Impact of tumor disappearance ratio on the prognosis of lung adenocarcinoma ≤2 cm in size: A retrospective cohort study

Author

Wu, Jia-Jun, primary, Wu, Chih-Ying, additional, Wu, Ching-Yang, additional, Wang, Chih-Liang, additional, Yang, Tsung-Ying, additional, Tseng, Jeng-Sen, additional, Hsu, Kuo-Hsuan, additional, Huang, Yen-Hsiang, additional, Hsu, Chung-Ping, additional, Chuang, Cheng-Yen, additional, Lin, Chih-Hung, additional, Tseng, Chien-Hua, additional, Chen, Kun-Chieh, additional, and Chang, Gee-Chen, additional

Published
2021
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42. The relative importance of predictive factors for single first-generation EGFR-TKI use for more than 5 years in patients with advanced non-small cell lung cancer: Taiwan multicenter TIPS-5 study

Author

Huang, Yen-Hsiang, primary, Hung, Jen-Yu, additional, Ko, How-Wen, additional, Su, Po-Lan, additional, Lai, Chun-Liang, additional, Chang, Huang-Chih, additional, Hsia, Te-Chun, additional, Lin, Sheng-Hao, additional, Wu, Kuan-Li, additional, Yang, Cheng-Ta, additional, Su, Wu-Chou, additional, Chu, Yi-Chun, additional, Wang, Chin-Chou, additional, Liao, Wei-Yu, additional, Lin, Yen-Ting, additional, Lin, Ching-Hsiung, additional, Lin, Meng-Chih, additional, Hsu, Kuo-Hsuan, additional, Tseng, Jeng-Sen, additional, Yang, Tsung-Ying, additional, Chen, Kun-Chieh, additional, Lee, Mei-Hsuan, additional, Yu, Sung-Liang, additional, Ho, Chao-Chi, additional, and Chang, Gee-Chen, additional

Published
2021
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50. The Association of Acquired T790M Mutation with Clinical Characteristics after Resistance to First-Line Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor in Lung Adenocarcinoma

Author

Huang, Yen-Hsiang, primary, Hsu, Kuo-Hsuan, additional, Tseng, Jeng-Sen, additional, Chen, Kun-Chieh, additional, Hsu, Chia-Hung, additional, Su, Kang-Yi, additional, Chen, Jeremy J. W., additional, Chen, Huei-Wen, additional, Yu, Sung-Liang, additional, Yang, Tsung-Ying, additional, and Chang, Gee-Chen, additional

Published
2018
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