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289 results on '"HUANG Chao-hui"'

1. QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis

Author

Huang, Chao Hui

Subjects
Quantitative Biology - Genomics, Computer Science - Computation and Language, Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper, we introduce QuST-LLM, an innovative extension of QuPath that utilizes the capabilities of large language models (LLMs) to analyze and interpret spatial transcriptomics (ST) data. In addition to simplifying the intricate and high-dimensional nature of ST data by offering a comprehensive workflow that includes data loading, region selection, gene expression analysis, and functional annotation, QuST-LLM employs LLMs to transform complex ST data into understandable and detailed biological narratives based on gene ontology annotations, thereby significantly improving the interpretability of ST data. Consequently, users can interact with their own ST data using natural language. Hence, QuST-LLM provides researchers with a potent functionality to unravel the spatial and functional complexities of tissues, fostering novel insights and advancements in biomedical research. QuST-LLM is a part of QuST project. The source code is hosted on GitHub and documentation is available at (https://github.com/huangch/qust)., Comment: 12 pages, 7 figures

Published
2024

2. QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis

Author

Huang, Chao-Hui

Subjects
Quantitative Biology - Quantitative Methods, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Recently, various technologies have been introduced into digital pathology, including artificial intelligence (AI) driven methods, in both areas of pathological whole slide image (WSI) analysis and spatial transcriptomics (ST) analysis. AI-driven WSI analysis utilizes the power of deep learning (DL), expands the field of view for histopathological image analysis. On the other hand, ST bridges the gap between tissue spatial analysis and biological signals, offering the possibility to understand the spatial biology. However, a major bottleneck in DL-based WSI analysis is the preparation of training patterns, as hematoxylin & eosin (H&E) staining does not provide direct biological evidence, such as gene expression, for determining the category of a biological component. On the other hand, as of now, the resolution in ST is far beyond that of WSI, resulting the challenge of further spatial analysis. Although various WSI analysis tools, including QuPath, have cited the use of WSI analysis tools in the context of ST analysis, its usage is primarily focused on initial image analysis, with other tools being utilized for more detailed transcriptomic analysis. As a result, the information hidden beneath WSI has not yet been fully utilized to support ST analysis. To bridge this gap, we introduce QuST, a QuPath extension designed to bridge the gap between H&E WSI and ST analyzing tasks. In this paper, we highlight the importance of integrating DL-based WSI analysis and ST analysis in understanding disease biology and the challenges in integrating these modalities due to differences in data formats and analytical methods. The QuST source code is hosted on GitHub and documentation is available at (https://github.com/huangch/qust)., Comment: 9 pages, 4 figures

Published
2024

3. Plinabulin plus docetaxel versus docetaxel in patients with non-small-cell lung cancer after disease progression on platinum-based regimen (DUBLIN-3): a phase 3, international, multicentre, single-blind, parallel group, randomised controlled trial

Author

Han, Baohui, Feinstein, Trevor, Shi, Yuankai, Cheng, Gongyan, Yao, Yu, Hu, Chunhong, Shi, Jianhua, Feng, Jifeng, Wu, Huijuan, Cheng, Ying, Guo, Qi-sen, Jie, Zhijun, Ye, Feng, Zhang, Yiping, Liu, Zhihua, Mao, Weidong, Zhang, Liangming, Lu, Junguo, Zhao, Jun, Bazhenova, Lyudmila, Ruiz, Jimmy, Kloecker, Goetz, Kalmadi, R Sujith, Oliff, Ira, Wong, Matthew, Liu, Bin, Wu, Yanping, Huang, Lan, Sun, Yan, Luo, Feng, Zhou, Jian-ying, Pan, Hongming, Wang, Huaqing, Liu, Chunling, Cao, Lejie, Huang, Chao Hui, Thara, Eddie, Li, Xiaoling, Jiang, Da, Mowat, Rex B, Hrom, John S, Nagrial, Adnan, Jain, Vikram, Karim, Nagla A, Shunyakov, Leonid V, Kiberu, Andrew, Jennens, Ross, Lloyd, Ken, Wang, Zhongkun, Du, Lihua, Li, Helen, Chen, Gongyan, Kloecker, Goetz H, Sujith, Kalmadi R, and Oliff, Ira A

Published
2024
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5. eXclusive Autoencoder (XAE) for Nucleus Detection and Classification on Hematoxylin and Eosin (H&E) Stained Histopathological Images

Author

Huang, Chao-Hui and Racoceanu, Daniel

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper, we introduced a novel feature extraction approach, named exclusive autoencoder (XAE), which is a supervised version of autoencoder (AE), able to largely improve the performance of nucleus detection and classification on hematoxylin and eosin (H&E) histopathological images. The proposed XAE can be used in any AE-based algorithm, as long as the data labels are also provided in the feature extraction phase. In the experiments, we evaluated the performance of an approach which is the combination of an XAE and a fully connected neural network (FCN) and compared with some AE-based methods. For a nucleus detection problem (considered as a nucleus/non-nucleus classification problem) on breast cancer H&E images, the F-score of the proposed XAE+FCN approach achieved 96.64% while the state-of-the-art was at 84.49%. For nucleus classification on colorectal cancer H&E images, with the annotations of four categories of epithelial, inflammatory, fibroblast and miscellaneous nuclei. The F-score of the proposed method reached 70.4%. We also proposed a lymphocyte segmentation method. In the step of lymphocyte detection, we have compared with cutting-edge technology and gained improved performance from 90% to 98.67%. We also proposed an algorithm for lymphocyte segmentation based on nucleus detection and classification. The obtained Dice coefficient achieved 88.31% while the cutting-edge approach was at 74%., Comment: 11 pages, 7 figures, 5 tables, conference paper

Published
2018

6. Evaluating the implementation and impact of navigator-supported remote symptom monitoring and management: a protocol for a hybrid type 2 clinical trial

Author

Rocque, Gabrielle B., Dionne-Odom, J. Nicholas, Stover, Angela M., Daniel, Casey L., Azuero, Andres, Huang, Chao-Hui Sylvia, Ingram, Stacey A., Franks, Jeffrey A., Caston, Nicole E., Dent, D’ Ambra N., Basch, Ethan M., Jackson, Bradford E., Howell, Doris, Weiner, Bryan J., and Pierce, Jennifer Young

Published
2022
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7. Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues

Author

Qaiser, Talha, Mukherjee, Abhik, Pb, Chaitanya Reddy, Munugoti, Sai Dileep, Tallam, Vamsi, Pitkäaho, Tomi, Lehtimäki, Taina, Naughton, Thomas, Berseth, Matt, Pedraza, Aníbal, Mukundan, Ramakrishnan, Smith, Matthew, Bhalerao, Abhir, Rodner, Erik, Simon, Marcel, Denzler, Joachim, Huang, Chao-Hui, Bueno, Gloria, Snead, David, Ellis, Ian, Ilyas, Mohammad, and Rajpoot, Nasir

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Quantitative Biology - Quantitative Methods
Abstract

Evaluating expression of the Human epidermal growth factor receptor 2 (Her2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of the diagnostic assessment of BCa due to its recognised importance as a predictive and prognostic marker in clinical practice. However, visual scoring of Her2 is subjective and consequently prone to inter-observer variability. Given the prognostic and therapeutic implications of Her2 scoring, a more objective method is required. In this paper, we report on a recent automated Her2 scoring contest, held in conjunction with the annual PathSoc meeting held in Nottingham in June 2016, aimed at systematically comparing and advancing the state-of-the-art Artificial Intelligence (AI) based automated methods for Her2 scoring. The contest dataset comprised of digitised whole slide images (WSI) of sections from 86 cases of invasive breast carcinoma stained with both Haematoxylin & Eosin (H&E) and IHC for Her2. The contesting algorithms automatically predicted scores of the IHC slides for an unseen subset of the dataset and the predicted scores were compared with the 'ground truth' (a consensus score from at least two experts). We also report on a simple Man vs Machine contest for the scoring of Her2 and show that the automated methods could beat the pathology experts on this contest dataset. This paper presents a benchmark for comparing the performance of automated algorithms for scoring of Her2. It also demonstrates the enormous potential of automated algorithms in assisting the pathologist with objective IHC scoring.

Published
2017
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8. Patient and provider perceptions of the benefits and limitations of implementing ePRO-driven remote symptom monitoring into real-world cancer care settings.

Author

Smith, Catherine, Henderson, Nicole, Padalkar, Tanvi, McGowen, Chelsea, Diaz, Bryanna, McNair, Carrie C., McElhany, Sheila, Williams, Courtney, Huang, Chao-Hui Sylvia, Dent, D'Ambra, Ingram, Stacey Adewakun, Odom, James Nicholas, Weiner, Bryan J., Howell, Doris, Stover, Angela M., Basch, Ethan, Young Pierce, Jennifer, and Rocque, Gabrielle Betty

Published
2024
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9. Engagement Among Diverse Patient Backgrounds in a Remote Symptom Monitoring Program.

Author

Rocque, Gabrielle B., Caston, Nicole E., Hildreth, Keyonsis, Deng, Luqin, Henderson, Nicole L., Williams, Courtney P., Azuero, Andres, Jackson, Bradford E., Franks, Jeffrey A., McGowan, Chelsea, Huang, Chao-Hui Sylvia, Dent, D'Ambra, Ingram, Stacey, Odom, J. Nicholas, Eltoum, Noon, Weiner, Bryan, Howell, Doris, Stover, Angela M., Pierce, Jennifer Young, and Basch, Ethan

Subjects
TUMOR treatment, PATIENT compliance, CROSS-sectional method, HEALTH services accessibility, INTERNET access, HEALTH literacy, SECONDARY analysis, RESEARCH funding, AFRICAN Americans, DESCRIPTIVE statistics, CANCER patients, TELEMEDICINE, RACE, SURVEYS, STATISTICS, CONFIDENCE intervals, DATA analysis software, PATIENT participation, NEIGHBORHOOD characteristics, SOCIAL classes
Abstract

PURPOSE: Previous randomized controlled trials have demonstrated benefit from remote symptom monitoring (RSM) with electronic patient-reported outcomes. However, the racial diversity of enrolled patients was low and did not reflect the real-world racial proportions for individuals with cancer. METHODS: This secondary, cross-sectional analysis evaluated engagement of patients with cancer in a RSM program. Patient-reported race was grouped as Black, Other, or White. Patient address was used to map patient residence to determine rurality using Rural-Urban Commuting Area Codes and neighborhood disadvantage using Area Deprivation Index. Key outcomes included (1) being approached for RSM enrollment, (2) declining enrollment, (3) adherence with RSM via continuous completion of symptom surveys, and (4) withdrawal from RSM participation. Risk ratios (RR) and 95% CI were estimated from modified Poisson models with robust SEs. RESULTS: Between May 2021 and May 2023, 883 patients were approached to participate, of which 56 (6%) declined RSM. Of those who enrolled in RSM, a total of 27% of patients were Black or African American and 67% were White. In adjusted models, all patient population subgroups of interest had similar likelihoods of being approached for RSM participation; however, Black or African American patients were more than 3× more likely to decline participation than White participants (RR, 3.09 [95% CI, 1.73 to 5.53]). Patients living in more disadvantaged neighborhoods were less likely to decline (RR, 0.49 [95% CI, 0.24 to 1.02]), but less likely to adhere to surveys (RR, 0.81 [95% CI, 0.68 to 0.97]). All patient populations had a similar likelihood of withdrawing. CONCLUSION: Black patients and individuals living in more disadvantaged neighborhoods are at risk for lower engagement in RSM. Further work is needed to identify and overcome barriers to equitable participation. Black patients and individuals living in more disadvantaged neighborhoods are at risk for lower engagement in remote symptom monitoring [ABSTRACT FROM AUTHOR]

Published
2024
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10. Correction

Author

Ciaravella, Angela, Caro, Guillermo M. Muñoz, Jiménez-Escobar, Antonio, Cecchi-Pestellini, Cesare, Hsiao, Li-Chieh, Huang, Chao-Hui, and Chen, Yu-Jung

Published
2020

13. Adaptation of Remote Symptom Monitoring Using Electronic Patient-Reported Outcomes for Implementation in Real-World Settings

Author

Rocque, Gabrielle B., Dent, D’Ambra N., Ingram, Stacey A., Caston, Nicole E., Thigpen, Haley B., Lalor, Fallon R., Jamy, Omer H., Giri, Smith, Azuero, Andres, Young Pierce, Jennifer, McGowen, Chelsea L., Daniel, Casey L., Andrews, Courtney J., Huang, Chao-Hui Sylvia, Dionne-Odom, J. Nicholas, Weiner, Bryan J., Howell, Doris, Jackson, Bradford E., Basch, Ethan M., and Stover, Angela M.

Published
2022
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14. Automated Breast Cancer Image Classification Based on Integration of Noisy-And Model and Fully Connected Network

Author

Huang, Chao-Hui, Brodbeck, Jens, Dimaano, Nena M., Kang, John, Dogdas, Belma, Rollins, Douglas, Gifford, Eric M., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Campilho, Aurélio, editor, Karray, Fakhri, editor, and ter Haar Romeny, Bart, editor

Published
2018
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17. Symptom trajectory for patients utilizing remote symptom monitoring during gastrointestinal cancer treatment.

Author

Diaz, Bryanna, primary, McGowen, Chelsea, additional, Caston, Nicole E., additional, McElhany, Sheila, additional, McNair, Carrie C, additional, Kreitz, Naden, additional, Franks, Jeffrey, additional, Andrews, Courtney J., additional, Huang, Chao-Hui Sylvia, additional, Odom, James Nicholas, additional, Weiner, Bryan J., additional, Jackson, Bradford E., additional, Basch, Ethan, additional, Stover, Angela M., additional, Howell, Doris, additional, Rocque, Gabrielle Betty, additional, and Young Pierce, Jennifer, additional

Published
2023
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18. Symptom alert by type and severity among cancer patients using electronic patient reported outcomes for remote symptom monitoring.

Author

McNair, Carrie C, primary, McGowen, Chelsea, additional, Caston, Nicole E., additional, McElhany, Sheila, additional, Diaz, Bryanna, additional, Kreitz, Naden, additional, Franks, Jeffrey, additional, Andrews, Courtney J., additional, Huang, Chao-Hui Sylvia, additional, Odom, James Nicholas, additional, Weiner, Bryan J., additional, Jackson, Bradford E., additional, Basch, Ethan, additional, Stover, Angela M., additional, Howell, Doris, additional, Rocque, Gabrielle Betty, additional, and Young Pierce, Jennifer, additional

Published
2023
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19. Evaluating Nurses' Time to Response by Severity and Cancer Stage in a Remote Symptom Monitoring Program for Patients With Breast Cancer

Author

Caston, Nicole E., primary, Franks, Jeffrey A., additional, Balas, Nora, additional, Eltoum, Noon, additional, Thigpen, Haley, additional, Patterson, Megan, additional, Azuero, Andres, additional, Ojesina, Akinyemi I., additional, Dent, D'Ambra N., additional, Hildreth, Keyonsis, additional, Lalor, Fallon R., additional, McGowen, Chelsea, additional, Huang, Chao-Hui S., additional, Dionne-Odom, J. Nicholas, additional, Weiner, Bryan J., additional, Jackson, Bradford E., additional, Basch, Ethan M., additional, Stover, Angela M., additional, Howell, Doris, additional, Pierce, Jennifer Y., additional, and Rocque, Gabrielle B., additional

Published
2023
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20. Implementation and Impact of Patient Lay Navigator-Led Advance Care Planning Conversations

Author

Jackson, Lee, Scott, Zoe, Cantuaria, Guilherme, Bickes, Debbie, Berry, Tina, Reiss, George, Mai, Hang, Chang, Ming, Gomez, Louiz, Meeker, Rhonda, Clarkson, James, Clarkson, Maggie, Stokes, Steven, Newman, Tina, Sheffield, Mary, Spremulli, Ellen, Watson, Wendy, Payne, Tom, Bright, Hanna, Holman, Stacey, Butler, Thomas, Tinnea, Cathy, Schnell, Fred, Pyle, Cyndi, Rocque, Gabrielle B., Taylor, Richard, Acemgil, Aras, Li, Xuelin, Kenzik, Kelly M., Jackson, Bradford E., Halilova, Karina I., Pisu, Maria, Demark-Wahnefried, Wendy, Meneses, Karen, Li, Yufeng, Martin, Michelle Y., Chambless, Carol, Lisovicz, Nedra, Pacheco-Rubi, Valeria, Salter, Terri L., Smedley, Warren, Fouad, Mona, Kvale, Elizabeth A., Partridge, Edward E., Dionne-Odom, J. Nicholas, Sylvia Huang, Chao-Hui, Niranjan, Soumya J., Williams, Courtney P., Bevis, Kerri S., Wallace, Audrey S., Taylor, Richard A., Butler, Thomas W., and Briggs, Linda A.

Published
2017
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21. NCCN Guidelines® Insights: Distress Management, Version 2.2023

Author

Riba, Michelle B., primary, Donovan, Kristine A., additional, Ahmed, Kauser, additional, Andersen, Barbara, additional, Braun, IIana, additional, Breitbart, William S., additional, Brewer, Benjamin W., additional, Corbett, Cheyenne, additional, Fann, Jesse, additional, Fleishman, Stewart, additional, Garcia, Sofia, additional, Greenberg, Donna B., additional, Handzo, George F., additional, Hoofring, Laura Herald, additional, Huang, Chao-Hui, additional, Hutchinson, Sean, additional, Johns, Shelley, additional, Keller, Jennifer, additional, Kumar, Pallavi, additional, Lahijani, Sheila, additional, Martin, Sara, additional, Niazi, Shehzad K., additional, Pailler, Megan, additional, Parnes, Francine, additional, Rao, Vinay, additional, Salman, Jaroslava, additional, Scher, Eli, additional, Schuster, Jessica, additional, Teply, Melissa, additional, Usher, Angela, additional, Valentine, Alan D., additional, Vanderlan, Jessica, additional, Lyons, Megan S., additional, McMillian, Nicole R., additional, and Darlow, Susan D., additional

Published
2023
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25. Identification of target population in the implementation of navigator-delivered home ePRO for patients with cancer receiving treatment.

Author

Krishnan, Jayasree, primary, McGowen, Chelsea L., additional, McElhany, Sheila K., additional, Diaz, Bryanna E., additional, McNair, Carrie C., additional, Caston, Nicole E., additional, Dent, D'Ambra, additional, Ingram, Stacey A., additional, Hildreth, Keyonsis, additional, Franks, Jeffrey, additional, Azuero, Andres, additional, Andrews, Courtney J., additional, Huang, Chao-Hui, additional, Howell, Doris, additional, Weiner, Bryan J, additional, Jackson, Bradford E., additional, Basch, Ethan, additional, Stover, Angela M., additional, Rocque, Gabrielle Betty, additional, and Young Pierce, Jennifer, additional

Published
2022
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26. Sociodemographic difference in patients who enroll and decline remote symptom monitoring (RSM).

Author

Hildreth, Keyonsis, primary, Caston, Nicole E., additional, Dent, D'Ambra, additional, Ingram, Stacey A., additional, Lalor, Fallon, additional, Franks, Jeffrey, additional, Azuero, Andres, additional, Young Pierce, Jennifer, additional, McGowen, Chelsea L., additional, Andrews, Courtney J., additional, Huang, Chao-Hui, additional, Dionne-Odom, James Nicholas, additional, Weiner, Bryan J, additional, Jackson, Bradford E., additional, Basch, Ethan, additional, Stover, Angela M., additional, Howell, Doris, additional, and Rocque, Gabrielle Betty, additional

Published
2022
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27. Evaluating nurses' time to response by severity and cancer stage in a remote symptom monitoring program.

Author

Franks, Jeffrey, primary, Caston, Nicole E., additional, Balas, Nora, additional, Lalor, Fallon, additional, Eltoum, Noon, additional, Dent, D'Ambra, additional, Hildreth, Keyonsis, additional, Patterson, Megan, additional, Azuero, Andres, additional, Jackson, Bradford E., additional, Dionne-Odom, James Nicholas, additional, Huang, Chao-Hui, additional, Stover, Angela M., additional, Howell, Doris, additional, Weiner, Bryan J, additional, McGowen, Chelsea L., additional, Basch, Ethan, additional, Young Pierce, Jennifer, additional, Ojesina, Akinyemi I, additional, and Rocque, Gabrielle Betty, additional

Published
2022
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28. Modeling and Measurement of 3D Deformation of Scoliotic Spine Using 2D X-ray Images

Author

Li, Hao, Leow, Wee Kheng, Huang, Chao-Hui, Howe, Tet Sen, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Jiang, Xiaoyi, editor, and Petkov, Nicolai, editor

Published
2009
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29. HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues

Author

Qaiser, Talha, Mukherjee, Abhik, Reddy PB, Chaitanya, Munugoti, Sai D, Tallam, Vamsi, Pitkäaho, Tomi, Lehtimäki, Taina, Naughton, Thomas, Berseth, Matt, Pedraza, Aníbal, Mukundan, Ramakrishnan, Smith, Matthew, Bhalerao, Abhir, Rodner, Erik, Simon, Marcel, Denzler, Joachim, Huang, Chao‐Hui, Bueno, Gloria, Snead, David, Ellis, Ian O, Ilyas, Mohammad, and Rajpoot, Nasir

Published
2018
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30. Health Disparities Grants Funded by National Institute on Aging: Trends between 2000 and 2010

Author

Kim, Giyeon, DeCoster, Jamie, and Huang, Chao-Hui

Abstract

Purpose of the Study: The present study examined the characteristics of health disparities grants funded by National Institute on Aging (NIA) from 2000 to 2010. Objectives were (a) to examine longitudinal trends in health disparities-related grants funded by NIA and (b) to identify moderators of these trends. Design and Methods: Our primary data source was the National Institutes of Health Research Portfolio Online Reporting Tools Expenditures and Results (RePORTER) system. The RePORTER data were merged with data from the Carnegie Classification of Institutions of Higher Education. General linear models were used to examine the longitudinal trends and how these trends were associated with type of grant and institutional characteristics. Results: NIA funded 825 grants on health disparities between 2000 and 2010, expending approximately 330 million dollars. There was an overall linear increase over time in both the total number of grants and amount of funding, with an outlying spike during 2009. These trends were significantly influenced by several moderators including funding mechanism and type of institution. Implications: The findings highlight NIA's current efforts to fund health disparities grants to reduce disparities among older adults. Gerontology researchers may find this information very useful for their future grant submissions.

Published
2012
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34. A phase 2 study of an off-the-shelf, multi-neoantigen vector (ADXS-503) in patients with metastatic non–small cell lung cancer either progressing on prior pembrolizumab or in the first-line setting.

Author

Gerstner, Gregory James, primary, Ramalingam, Suresh S., additional, Lisberg, Aaron E., additional, Farber, Charles Michael, additional, Morganstein, Neil, additional, Sanborn, Rachel E., additional, Halmos, Balazs, additional, Spira, Alexander I., additional, Pathak, Ranjan, additional, Huang, Chao Hui, additional, Vangala, Surya, additional, Parsi, Megan, additional, Metran, Cristiane, additional, Gutierrez, Andres A., additional, and Goldman, Jonathan W., additional

Published
2022
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36. Additional file 3 of Evaluating the implementation and impact of navigator-supported remote symptom monitoring and management: a protocol for a hybrid type 2 clinical trial

Author

Rocque, Gabrielle B., Dionne-Odom, J. Nicholas, Stover, Angela M., Daniel, Casey L., Azuero, Andres, Huang, Chao-Hui Sylvia, Ingram, Stacey A., Franks, Jeffrey A., Caston, Nicole E., Dent, D’ Ambra N., Basch, Ethan M., Jackson, Bradford E., Howell, Doris, Weiner, Bryan J., and Pierce, Jennifer Young

Subjects
health services administration, education, health care economics and organizations, humanities
Abstract

Additional file 3. UAB IRB Stamped Consent Form for the Patient Interview – This file contains the IRB approved consent form that patients will review and sign if they agree to participate in the patient interview.

Published
2022
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37. Additional file 1 of Evaluating the implementation and impact of navigator-supported remote symptom monitoring and management: a protocol for a hybrid type 2 clinical trial

Author

Rocque, Gabrielle B., Dionne-Odom, J. Nicholas, Stover, Angela M., Daniel, Casey L., Azuero, Andres, Huang, Chao-Hui Sylvia, Ingram, Stacey A., Franks, Jeffrey A., Caston, Nicole E., Dent, D’ Ambra N., Basch, Ethan M., Jackson, Bradford E., Howell, Doris, Weiner, Bryan J., and Pierce, Jennifer Young

Subjects
Data_FILES
Abstract

Additional file 1. Provider Semi-structured Interview Guide – This file contains the interview guide that will used for each of the Provider interviews that will be conducted.

Published
2022
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38. Additional file 2 of Evaluating the implementation and impact of navigator-supported remote symptom monitoring and management: a protocol for a hybrid type 2 clinical trial

Author

Rocque, Gabrielle B., Dionne-Odom, J. Nicholas, Stover, Angela M., Daniel, Casey L., Azuero, Andres, Huang, Chao-Hui Sylvia, Ingram, Stacey A., Franks, Jeffrey A., Caston, Nicole E., Dent, D’ Ambra N., Basch, Ethan M., Jackson, Bradford E., Howell, Doris, Weiner, Bryan J., and Pierce, Jennifer Young

Subjects
Data_FILES
Abstract

Additional file 2. ePRO Patient Interview Guide – This file contains the interview guide that will be used for each of the patient interviews that will be conducted.

Published
2022
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48. Study of optical properties of glass-like polymer material for blue laser holographic optic data storage recording

Author

Chen, Jyh-Herng, Yang, Chin-Tien, Huang, Chao-Hui, Hsu, Ming-Fang, and Jeng, Tzuan-Ren

Subjects
Polymers -- Optical properties, Holography -- Research, Optics -- Research, Information storage and retrieval -- Methods, Lasers -- Usage, Lasers -- Properties, Storage media -- Properties, Polymerization -- Research, Refraction -- Influence, Diffraction gratings -- Properties, Diffraction gratings -- Influence, Laser, Business, Electronics, Electronics and electrical industries
Abstract

Holographic data storage is the most promising data storage technology in the next generation due to the advantages of the ultra-high data storage density and high data transfer rate. Dimensional stability of storage media and photorefraction effect of the grating are the two most important factors for holographic storage. In this study, a blue laser holographic material with low shrinkage is developed. The organic-inorganic hybrid matrix is triethoxysilylpropyl polyethyleneglycol carbamate (TSPEG) homogeneously bonded with tetraethyl orthosilicate (TEOS) prepared by sol-gel method. Diallyl phthalate pre-polymer (DAPP) and 9,10-Phenanthrenequinone (PQ) were used as a monomer and a photoinitiator, respectively. Optical data recording was performed by a blue laser source with a wavelength of 405 nm and the intensity of laser is 2 mW/[cm.sup.2]. The photoinduced free radical polymerization of DAPP in the presence of PQ can be initiated by the blue laser irradiation. The inorganic backbone limits the shrinkage resulting from the polymerization and increases the rigidity of the matrix. The shrinkage measurement shows that the blue laser holographic material with TSPEG/TEOS = 0.2 (molar ratio) has very low shrinkage of about 0.145% after recording the hologram. Index Terms--Blue laser holographic data storage media, low shrinkage, organic-inorganic hybrid matrix, photopolymerization.

Published
2009

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