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37 results on '"Shu, Zixin"'

1. ISPO: An Integrated Ontology of Symptom Phenotypes for Semantic Integration of Traditional Chinese Medical Data

Author

Shu, Zixin, Hua, Rui, Yan, Dengying, Lu, Chenxia, Xu, Ning, Li, Jun, Zhu, Hui, Zhang, Jia, Zhao, Dan, Hui, Chenyang, Ye, Junqiu, Liao, Chu, Hao, Qi, Ye, Wen, Luo, Cheng, Wang, Xinyan, Cheng, Chuang, Li, Xiaodong, Liu, Baoyan, Zhou, Xiaji, Zhang, Runshun, Xu, Min, and Zhou, Xuezhong

Subjects
Computer Science - Computation and Language
Abstract

Symptom phenotypes are one of the key types of manifestations for diagnosis and treatment of various disease conditions. However, the diversity of symptom terminologies is one of the major obstacles hindering the analysis and knowledge sharing of various types of symptom-related medical data particularly in the fields of Traditional Chinese Medicine (TCM). Objective: This study aimed to construct an Integrated Ontology of symptom phenotypes (ISPO) to support the data mining of Chinese EMRs and real-world study in TCM field. Methods: To construct an integrated ontology of symptom phenotypes (ISPO), we manually annotated classical TCM textbooks and large-scale Chinese electronic medical records (EMRs) to collect symptom terms with support from a medical text annotation system. Furthermore, to facilitate the semantic interoperability between different terminologies, we incorporated public available biomedical vocabularies by manual mapping between Chinese terms and English terms with cross-references to source vocabularies. In addition, we evaluated the ISPO using independent clinical EMRs to provide a high-usable medical ontology for clinical data analysis. Results: By integrating 78,696 inpatient cases of EMRs, 5 biomedical vocabularies, 21 TCM books and dictionaries, ISPO provides 3,147 concepts, 23,475 terms, and 55,552 definition or contextual texts. Adhering to the taxonomical structure of the related anatomical systems of symptom phenotypes, ISPO provides 12 top-level categories and 79 middle-level sub-categories. The validation of data analysis showed the ISPO has a coverage rate of 95.35%, 98.53% and 92.66% for symptom terms with occurrence rates of 0.5% in additional three independent curated clinical datasets, which can demonstrate the significant value of ISPO in mapping clinical terms to ontologies., Comment: 39 pages, 6 figures, 6 tables

Published
2024

2. Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction

Author

Wang, Xinyan, Jia, Ting, Wang, Chongyu, Xu, Kuan, Shu, Zixin, Yu, Jian, Yang, Kuo, and Zhou, Xuezhong

Subjects
Computer Science - Artificial Intelligence
Abstract

Accurate identification of disease genes has consistently been one of the keys to decoding a disease's molecular mechanism. Most current approaches focus on constructing biological networks and utilizing machine learning, especially, deep learning to identify disease genes, but ignore the complex relations between entities in the biological knowledge graph. In this paper, we construct a biological knowledge graph centered on diseases and genes, and develop an end-to-end Knowledge graph completion model for Disease Gene Prediction using interactional tensor decomposition (called KDGene). KDGene introduces an interaction module between the embeddings of entities and relations to tensor decomposition, which can effectively enhance the information interaction in biological knowledge. Experimental results show that KDGene significantly outperforms state-of-the-art algorithms. Furthermore, the comprehensive biological analysis of the case of diabetes mellitus confirms KDGene's ability for identifying new and accurate candidate genes. This work proposes a scalable knowledge graph completion framework to identify disease candidate genes, from which the results are promising to provide valuable references for further wet experiments.

Published
2023

3. Network medicine framework reveals generic herb-symptom effectiveness of Traditional Chinese Medicine

Author

Gan, Xiao, Shu, Zixin, Wang, Xinyan, Yan, Dengying, Li, Jun, ofaim, Shany, Albert, Réka, Li, Xiaodong, Liu, Baoyan, Zhou, Xuezhong, and Barabási, Albert-László

Subjects
Quantitative Biology - Molecular Networks
Abstract

Traditional Chinese medicine (TCM) relies on natural medical products to treat symptoms and diseases. While clinical data have demonstrated the effectiveness of selected TCM-based treatments, the mechanistic root of how TCM herbs treat diseases remains largely unknown. More importantly, current approaches focus on single herbs or prescriptions, missing the high-level general principles of TCM. To uncover the mechanistic nature of TCM on a system level, in this work we establish a generic network medicine framework for TCM from the human protein interactome. Applying our framework reveals a network pattern between symptoms (diseases) and herbs in TCM. We first observe that genes associated with a symptom are not distributed randomly in the interactome, but cluster into localized modules; furthermore, a short network distance between two symptom modules is indicative of the symptoms' co-occurrence and similarity. Next, we show that the network proximity of a herb's targets to a symptom module is predictive of the herb's effectiveness in treating the symptom. We validate our framework with real-world hospital patient data by showing that (1) shorter network distance between symptoms of inpatients correlates with higher relative risk (co-occurrence), and (2) herb-symptom network proximity is indicative of patients' symptom recovery rate after herbal treatment. Finally, we identified novel herb-symptom pairs in which the herb's effectiveness in treating the symptom is predicted by network and confirmed in hospital data, but previously unknown to the TCM community. These predictions highlight our framework's potential in creating herb discovery or repurposing opportunities. In conclusion, network medicine offers a powerful novel platform to understand the mechanism of traditional medicine and to predict novel herbal treatment against diseases., Comment: 25 pages, 4 figures plus 1 table

Published
2022

8. AIM in Alternative Medicine

Author

Shu, Zixin, Jia, Ting, Tian, Haoyu, Yan, Dengying, Yang, Yuxia, Zhou, Xuezhong, Lidströmer, Niklas, editor, and Ashrafian, Hutan, editor

Published
2022
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10. Colloidal photonic crystals towards biological applications.

Author

Shu, Zixin, Sun, Xiaoning, Xu, Xinyuan, Qin, Meng, and Li, Jianshu

Abstract

Colloidal photonic crystals (CPCs), fabricated from the assembly of micro-/nano-particles, have attracted considerable interest due to their unique properties, such as structural color, slow-photon effect, and high specific surface area (SSA). Benefiting from these properties, significant progress has been made in the biological applications of CPCs. In this perspective, these properties and relative manipulation strategies are firstly discussed, building bridges between properties and biological applications of CPCs. Structural color endows CPCs with naked-eye sensing capability, which can be applied to physiological state assessment and diagnosis, as well as self-report of CPC-based diagnostic and therapeutic devices. The slow-photon effect contributes to enhanced fluorescence, surface-enhanced Raman scattering, and efficacy of photodynamic/photothermal therapy, when CPCs are combined with corresponding functional materials. High SSA provides CPCs with abundant binding sites and superior capabilities for loading, adsorption, delivery, etc. These properties can be utilized individually or synergistically to grant CPCs superior performance in biological applications. Next, the recent advancements of CPCs towards biological applications are summarized, including biosensors, wound dressings, cells-on-a-chip, and phototherapy. Finally, a perspective on the challenges and future development of CPCs for biological applications is presented. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models.

Author

Hua, Rui, Dong, Xin, Wei, Yu, Shu, Zixin, Yang, Pengcheng, Hu, Yunhui, Zhou, Shuiping, Sun, He, Yan, Kaijing, Yan, Xijun, Chang, Kai, Li, Xiaodong, Bai, Yuning, Zhang, Runshun, Wang, Wenjia, and Zhou, Xuezhong

Abstract

Objective The recent surge in large language models (LLMs) across various fields has yet to be fully realized in traditional Chinese medicine (TCM). This study aims to bridge this gap by developing a large language model tailored to TCM knowledge, enhancing its performance and accuracy in clinical reasoning tasks such as diagnosis, treatment, and prescription recommendations. Materials and Methods This study harnessed a wide array of TCM data resources, including TCM ancient books, textbooks, and clinical data, to create 3 key datasets: the TCM Pre-trained Dataset, the Traditional Chinese Patent Medicine (TCPM) Question Answering Dataset, and the Spleen and Stomach Herbal Prescription Recommendation Dataset. These datasets underpinned the development of the Lingdan Pre-trained LLM and 2 specialized models: the Lingdan-TCPM-Chat Model, which uses a Chain-of-Thought process for symptom analysis and TCPM recommendation, and a Lingdan Prescription Recommendation model (Lingdan-PR) that proposes herbal prescriptions based on electronic medical records. Results The Lingdan-TCPM-Chat and the Lingdan-PR Model, fine-tuned on the Lingdan Pre-trained LLM, demonstrated state-of-the art performances for the tasks of TCM clinical knowledge answering and herbal prescription recommendation. Notably, Lingdan-PR outperformed all state-of-the-art baseline models, achieving an improvement of 18.39% in the Top@20 F1-score compared with the best baseline. Conclusion This study marks a pivotal step in merging advanced LLMs with TCM, showcasing the potential of artificial intelligence to help improve clinical decision-making of medical diagnostics and treatment strategies. The success of the Lingdan Pre-trained LLM and its derivative models, Lingdan-TCPM-Chat and Lingdan-PR, not only revolutionizes TCM practices but also opens new avenues for the application of artificial intelligence in other specialized medical fields. Our project is available at https://github.com/TCMAI-BJTU/LingdanLLM. [ABSTRACT FROM AUTHOR]

Published
2024
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16. AIM in Alternative Medicine

Author

Shu, Zixin, primary, Jia, Ting, additional, Tian, Haoyu, additional, Yan, Dengying, additional, Yang, Yuxia, additional, and Zhou, Xuezhong, additional

Published
2021
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21. An effective machine learning approach for predicting ecosystem CO2 assimilation across space and time.

Author

Bartolomeis, Piersilvio De, Meterez, Alexandru, Shu, Zixin, and Stocker, Benjamin David

Subjects
ARTIFICIAL neural networks, RECURRENT neural networks, MACHINE learning, CLIMATE extremes, ECOSYSTEMS, CARBON cycle
Abstract

Accurate predictions of environmental controls on ecosystem photosynthesis are essential for understanding the impacts of climate change and extreme events on the carbon cycle and the provisioning of ecosystem services. Using time-series measurements of ecosystem fluxes paired with measurements of meteorological variables from a network of globally distributed sites and remotely sensed vegetation indices, we train a recurrent deep neural network (Long-Short-Term Memory, LSTM), a simple deep neural network (DNN), and a mechanistic, theory-based photosynthesis model with the aim to predict ecosystem gross primary production (GPP). We test these models' ability to spatially and temporally generalise across a wide range of environmental conditions. Both neural network models outperform the theory-based model considering leave-site-out cross-validation (LSOCV). The LSTM model performs best and achieves a mean R 2 of 0.78 across sites in the LSOCV and an average R 2 of 0.82 across relatively moist temperate and boreal sites. This suggests that recurrent deep neural networks provide a basis for robust data-driven ecosystem photosynthesis modelling in respective biomes. However, limits to global model upscaling are identified using cross-validation by vegetation types and by continents. In particular, our model performance is weakest at relatively arid sites where unknown vegetation exposure to water limitation limits model reliability. [ABSTRACT FROM AUTHOR]

Published
2023
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22. Add-on Chinese medicine for hospitalized chronic obstructive pulmonary disease (CHOP): A cohort study of hospital registry

Author

Xu, Ning, primary, Zhong, Kunyu, additional, Yu, Haibin, additional, Shu, Zixin, additional, Chang, Kai, additional, Zheng, Qiguang, additional, Tian, Haoyu, additional, Zhou, Ling, additional, Wang, Wei, additional, Qu, Yunyan, additional, Liu, Baoyan, additional, Zhou, Xuezhong, additional, Chan, Kam Wa, additional, and Li, Jiansheng, additional

Published
2023
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24. Phenonizer: A Fine-Grained Phenotypic Named Entity Recognizer for Chinese Clinical Texts

Author

Zou, Qunsheng, primary, Yang, Kuo, additional, Shu, Zixin, additional, Chang, Kai, additional, Zheng, Qiguang, additional, Zheng, Yi, additional, Lu, Kezhi, additional, Xu, Ning, additional, Tian, Haoyu, additional, Li, Xiaomeng, additional, Yang, Yuxia, additional, Zhou, Yana, additional, Yu, Haibin, additional, Zhang, Xiaoping, additional, Xia, Jianan, additional, Zhu, Qiang, additional, Poon, Josiah, additional, Poon, Simon, additional, Zhang, Runshun, additional, Li, Xiaodong, additional, and Zhou, Xuezhong, additional

Published
2022
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25. sj-pdf-2-gam-10.1177_21649561211003689 - Supplemental material for 2021 Integrative Medicine & Health Symposium Abstracts

Author

Shu, Zixin, Chang, Kai, Zhou, Yana, Peng, Chaoan, Li, Xugui, Cai, Wei, Wei, Li, Zhang, Boli, Tong, Xiaolin, Liu, Baoyan, Zhou, Xuezhong, Chan, Kam Wa, and Li, Xiaodong

Subjects
111708 Health and Community Services, Medicine, 111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences
Abstract

Supplemental material, sj-pdf-2-gam-10.1177_21649561211003689 for 2021 Integrative Medicine & Health Symposium Abstracts by Zixin Shu, Kai Chang, Yana Zhou, Chaoan Peng, Xugui Li, Wei Cai, Li Wei, Boli Zhang, Xiaolin Tong, Baoyan Liu, Xuezhong Zhou, Kam Wa Chan, Xiaodong Li, Karen Seal, Daniel Bertenthal, Evan Carey, Judith Moskowitz, Elizabeth Addington, Lisa Kamsickas, Veronika Grote, Caroline Leong, Elaine Cheung, Ekaterina Anderson, Kelly Dvorin, Anna Barker, Abigail Herbst, Matthew Bowen, Bella Etingen, Reagan Mozer, Rodger Kingston, Barbara Bokhour, Shruti Parthasarathy, Christina Sauer, Bruriah Horowitz, Daniel Lynam, Clayton McCaulley, Jochen Hylbert, David Victorson, Maria Mascarenhas, Tiffany Silliman-Cohen, Lisa Squires, Robin Micco, Sarah Knox, Preeti Soi, Tonia Kulp, Amy Dean, Maureen Heil, Jessi Erlichman, Erica Sibinga, Deanna Kerrigan, Ruth Q Wolever, Mark Dreusicke, Kim Wyche-Etheridge, Regina Offodile, Susanne Tropez-Sims, Kristen Kraemer, Daniel Litrownik, Marilyn Moy, Peter Wayne, Douglas Beach, Elizabeth Klings, Harry Reyes Nieva, Adlin Pinheiro, Roger Davis, Gloria Yeh, Jeffery Dusek, Natalie Dyer, Jessica Surdam, Erica Sharpe, Alison Lacombe, Adam Sadowski, John Phipps, Ryan Heer, Savita Rajurkar, Doug Hanes, Ryan Bradley, Jerome Sarris, Ruth Q Wolever, Michael TM Finn, Denise Shields, Lisa Squires, Allison Moomaw, Richa Gawande, Timothy Creedon, Alexandra Comeau, My Ngoc To, Caitlyn Wilson, Lydia Smith, Todd Griswold, Benjamin Cook, Zev Schuman-Olivier, Daniel Hall, Christina Luberto, Alexandros Markowitz, Helen Mizrach, Nevita George, Giselle Perez, Nicole Detore, Gregory Fricchione, Daphne Holt, Louisa Sylvia, Elyse Park, Dennis Muñoz-Vergara, Weronika Grabowska, Gloria Y Yeh, Kristin Schreiber, Christene A Huang, Ann Marie Zavacki, Peter M Wayne, Charlene Hoi Lam Wong, Irene Xin Yin Wu, Lynda G Balneaves, Raymond SK Lo, Claudia M Witt, Justin Che Yuen Wu, Ting Hung Leung, Vincent Chi Ho Chung, Saad Ahmed, Catherine J Zhang, Jeremy Y Ng, Blake Langley, Jennifer Ryan, Douglas Hanes, John Phipps, Emily Stack, Thomas Metz, Fred Stevens, Ryan Bradley, Rylea Ranum, Ann Vincent, Loren Toussaint, Donya Nemati, Rachel Hinrichs, Alisa Johnson, Romy Lauche, Niki Munk, Niki Munk, Mica Rosenow, Samantha Zabel, Karen Boulanger, Mica Rosenow, Niki Munk, Dana Dharmakaya Colgan, Kaylie Green, Ashley Eddy, Lynn Marshall, Barry Oken, Dana Dharmakaya Colgan, Dan Klee, Tab Memmott, Austin Thompson, Hans Carlson, Lynn Marhshall, Barry Oken, Michael Datko, Jacqueline Lutz, Richa Gawande, Alexandra Comeau, My Ngoc To, Jenny Gan, Gaelle Desbordes, Vitaly Napadow, Zev Schuman-Olivier, Emily Gathright, Julie DeCosta, Brittany Balletto, Melissa Feulner, Michael Carey, Lori Scott-Sheldon, Elena Salmoirago-Blotcher, Erik Groessl, Adhana McCarthy, Danielle Casteel, Symone McKinnon, Grace Langford, Joseph Sauer, Bruriah Horowitz, Christina Sauer, Riley Dow, Samir Sejpal, John Kalapurakal, David Victorson, Christina Luberto, Amy Wang, Sydney Crute, Jeff Huffman, Gloria Yeh, Elyse Park, Linda Chao, Wolf Mehling, Margaret Chesney, Jennifer Lee, Amanda N Lee, Steven Martinez, Deborah E Barnes, Joseph Sauer, Grace Langford, Bruriah Horowitz, Christina Sauer, Shruti Parthasarathy, Samir Sejpal, John Kalapurakal, David Victorson, Chwan-Li Shen, Chanaka Kahathuduwa, Ming-Chien Chyu, Jean-Michel Brismée, Ami Knox, Rui Wang, Hui-Ying Luk, Casey Appell, Michael O’Boyle, Mimi Zumwalt, Jaehoon Lee, Bruce Watkins, Volker Neugebauer, David Victorson, Britt Hanson, Nicholas Kirwen, Daniel Shevrin, Rebecca Erwin Wells, Nathaniel O’Connell, Charles R Pierce, Paige Estave, Donald B Penzien, Elizabeth Loder, Fadel Zeidan, Timothy T Houle, Marc Brodsky, Hannah R Brown, Emily R Friedman, Michael TM Finn, A Grace Kelly, Kathryn Hansen, Lisa Conboy, Melanie Chieng, Emily Friedman, Hannah Brown, Michael Finn, A Grace Kelly, Kathryn Hansen, Bruriah Horowitz, Christina Sauer, Shruti Parthasarathy, Todd Morgan, Alexander Kutikov, Kristian Novakovic, David Victorson, Lisa Kamsickas, Elaine Cheung, Veronika Grote, Caroline Leong, Elizabeth Addington, Judith Moskowitz, Maryanna Klatt, Olivia Gabram, Shi-bing Liang, Ying-Ying Zhang, Chen Shen, Chang-Hao Liang, Bao-Yong Lai, Ning Dai, Yu-Qi Li, Zi-Yu Tian, Xiao-Wen Zhang, Yue Jiang, Min Xiong, Ya-Peng Zhang, Ying Zhang, Nicola Robinson, Jian-ping Liu, Chunli Lu, Fei Dong, Hongliang Liu, Xinyan Jin, Ruoxiang Zheng, Xuehan Liu, Nicola Robinson, Jianping Liu, Rashmi Mullur, Kirsten Tillisch, Jill Schneiderhan, Suzanna Zick, Anup Bhandiwad, Erin Hendriks, Tamara Schult, Kavitha Reddy, Nancy Donovan, Lauri Phillips, Cynthia Gantt, Ilana Seidel, Brett Garcia, Rudolph Cendreda, Natalie Purcell, Karen H Seal, Esther Sternberg, Shujuan Li, Bo Yang, Altaf Engineer, Philip Stoker, Young-Jun Son, Mattias Mehl, Yijie Chen, Austin Young, Gabrielle Spickard, Rebecca Blakiston, America Curl, Hui Yi Khor, Ziyin Soon, Amreeta Dhanoa, Lakshmi Selvaratnam, Kyi Kyi Tha, Ziyin Soon, Hui Yi Khor, May Kyi Zay Hta, Amreeta Dhanoa, Lakshmi Selvaratnam, Kyi Kyi Tha, Malik Tiedt, Paula Gardiner, Jennifer Leeman, Susan Gaylord, Vanessa Miller, Kim Faurot, Kris Karvelas, Jessica Barnhill, Aisha Chilcoat, Isabel Roth, Rebecca Erwin Wells, Suzan R Farris, Licia Grazzi, Miya Holley, Anna Dorsett, Kelly Xing, Charles R Pierce, Paige M Estave, Nathaniel O’Connell, Emily Williams, Harini Pallerla, Susan McDonald, Laura Malosh, Sonali Doshi, Sian Cotton, Belle Zaccari, Jennifer Loftis, Kimberly Hubbard, Terri Haywood, Ursula Kelly, Melissa Zappa, Shelley White, Darren Walker, Kim Walker, Belinda Anderson, Sai Dudla, Paul Marantz, Benjamin Kligler, Brent Leininger, Roni Evans, Patricia Lebensohn, Victoria Maizes, Mari Ricker, Audrey Brooks, Alexandra Vacca, Darragh A Dzisiak, Kevin Gilotra, Jessica B Saini, Jeremy Y Ng, Blake Langley, Sara Guedry, Joshua Goldenberg, Douglas Hanes, Jennifer Beardsley, Jennifer Ryan, Robin Austin, Sheng-Cheih Lu, Connie White Delaney, Mary Koithan, Mary Jo Kreitzer, Deborah Ringdahl, Serena Bezdjian, Robb Russell, Louis Kazal Jr., Justin Goehl, Andrew Toler, James Whedon, Trevor Lentz, Robert Saunders, Jonathan Gonzalez-Smith, Christine Goertz, Katie Huber, William Bleser, Suzanne Grant, Carolyn Ee, Kate Templeman, Michael de Manincor, Nicole Ableson, Guoyan Yang, Kathy Tannous, Jennifer Reath, Jeffery Dusek, Kalpana ShereWolfe, Rachel Silk, Mia Lynch, Adrian Jones, Carla Alexander, Umair Tahir, Simran Dhaliwal, Jeremy Y Ng, James Whedon, Curtis Petersen, Jon Lurie, William Schoellkopf, Todd MacKenzie, Scott Haldeman, Charlene Hoi Lam Wong, Irene Xin Yin Wu, Jon Adams, Amie Steel, Jon Wardle, Justin Che Yuen Wu, Ting Hung Leung, Vincent Chi Ho Chung, Lisa Yen, Katherine Smith, Leeann Hays, Julie Oijala, Ruth Q Wolever, Robert Abbott, Kyle Sherwin, Hannah Klopf, Holly Mattingly, Kelly Brogan, Avineet Luthra, Aarthi Harini J, Rajesh KN, Sanjith Aaron, Archana Purushotham, Anthony Rossi, Meg Hauer, Janet Funk, Ryan Bradley, Courtney Pickworth, Douglas Hanes, Ryan Wexler, Adam Sadowski, Lita Buttolph, Hadil Sarrar, Jillian Moehle, Michelle Torrens, Joanna Harnett, Erica McIntyre, Janet Schloss, Amie Steel, Jon Adams, Christina Sauer, Bruriah Horowitz, Shruti Parthasarathy, Kim Feingold, Rita Szymanski, Dershung Yang, David Victorson, Teresa Horton, Susan Redden, Peyton Meyer, Olivia Poole, Daniel Hostetler, Bruriah Horowitz, Sheri Gibson, David Victorson, Yan Ma, Kristen Kraemer, Jiaxuan Lyv, Gloria Yeh, Alisha E Sharma, Ekaterina Dogadova, Stephanie Ka Ching Lau, Zainib Nazir, Hosna Sahak, Harmy Thakar, Jeremy Y Ng, Arya Nielsen, Heather Tick, Nandana D Parakh, Jeremy Y Ng, Raymond Teets, Arya Nielsen, Paul Meissner, Steffany Moonaz, Hyowoun Jyung, Donna Mah, Belinda Anderson, MIrta MIlanes, Eve Walter, Ben Kligler, Rahil Hernandez, Adhana McCarthy, Danielle Casteel, Erik Groessl, Carol Hafey, Jeremy Y Ng, Tushar Dhawan, Ekaterina Dogadova, Zhala Taghi-Zada, Alexandra Vacca, David Moher, Stephanie Sohl, Deborah Lee, Heather Davidson, Blaire Morriss, Rebecca Weinand, Katherine Costa, Edward Ip, James Lovato Lovato, Russell Rothman, Ruth Wolever, Robin Austin, Jeana Holt, Kara Odom, Sripriya Rajamani, Karen Monsen, Aisha Chilcoat, Jessica Barnhill, Keturah Faurot, Susan Gaylord, Malik Tiedt, Isabel Roth, Sherry Chesak, Susanne Cutshall, Debbie Fuehrer, Julie Denison, Virginia Burke, Vicki Tepper, Katherine Merrill, Elizabeth Abrams, Amy Knowlton, Renata Arrington-Sanders, Allison Agwu, Deanna Kerrigan, Erica Sibinga, Mark Dreusicke, David Rychener, Adam Rindfleisch, Nicole Daigle, Debonie Lewis, Amanda Hull, Eileen Dryden, Rendelle Bolton, Justeen Hyde, Kelly Dvorin, Juliet Wu, Lauri Philips, Barbara Bokhour, Natalie Dyer, Ann Baldwin, Rosemary Pharo, Feona Gray, Margaret M Gorvine, Nickolas D Zaller, Jeffrey Greeson, Emma McBride, Rahil Mounira Hernandez, Alec Terrana, Douglas Ziedonis, Deepa Sannidhi, Adhana McCarthy, Josh Kaplan, Daniel Klee, Dharmakaya Colgan, Barry Oken, Raymond Lord, Kayley Okst, Sarah K. Moore, Lydia Smith, Thomas Fatkin, Caitlyn Wilson, Timothy Creedon, Farah Samawi, Richa Gawande, Alaine Kiera Fredericksen, Alexandra Oxnard, David Roll, Zev Schuman-Olivier, Shruti Parthasarathy, Christina Sauer, Bruriah Horowitz, Daniel Lynam, Jochen Hylbert, Clayton McCaulley, David Victorson, Els A Peeters, Julia Jansen, Femke Talsma, Ines A von Rosenstiel, Tamara Schult, Lauren Byma, David Mohr, Kavitha Reddy, Katherine Smith, Claudia Joy Wingo, Rebecca Pille, Chelsey Barrett, Amanda Breon, Kimberly Davis, Daryl Nault, Krishna Taneja, Amelia Villagomez, Julie Tomkins, Matt Erb, Noshene Ranjbar, Irina Todorov, Andrea Sikon, Elizabeth Pfoh, Victoria Shaker, Sara Warber, Bridget Quinn, Katherine Irvine, Katherine Irvine, Daniel Fisher, Mags Currie, Melissa Marselle, Sara Warber, Alexandra Wimberly, Kristen Rawlett, Loraine Arikat and Shawna Murray-Browne in Global Advances in Health and Medicine

Published
2022
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26. sj-pdf-1-gam-10.1177_21649561211003689 - Supplemental material for 2021 Integrative Medicine & Health Symposium Abstracts

Author

Shu, Zixin, Chang, Kai, Zhou, Yana, Peng, Chaoan, Li, Xugui, Cai, Wei, Wei, Li, Zhang, Boli, Tong, Xiaolin, Liu, Baoyan, Zhou, Xuezhong, Chan, Kam Wa, and Li, Xiaodong

Subjects
111708 Health and Community Services, Medicine, 111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences
Abstract

Supplemental material, sj-pdf-1-gam-10.1177_21649561211003689 for 2021 Integrative Medicine & Health Symposium Abstracts by Zixin Shu, Kai Chang, Yana Zhou, Chaoan Peng, Xugui Li, Wei Cai, Li Wei, Boli Zhang, Xiaolin Tong, Baoyan Liu, Xuezhong Zhou, Kam Wa Chan, Xiaodong Li, Karen Seal, Daniel Bertenthal, Evan Carey, Judith Moskowitz, Elizabeth Addington, Lisa Kamsickas, Veronika Grote, Caroline Leong, Elaine Cheung, Ekaterina Anderson, Kelly Dvorin, Anna Barker, Abigail Herbst, Matthew Bowen, Bella Etingen, Reagan Mozer, Rodger Kingston, Barbara Bokhour, Shruti Parthasarathy, Christina Sauer, Bruriah Horowitz, Daniel Lynam, Clayton McCaulley, Jochen Hylbert, David Victorson, Maria Mascarenhas, Tiffany Silliman-Cohen, Lisa Squires, Robin Micco, Sarah Knox, Preeti Soi, Tonia Kulp, Amy Dean, Maureen Heil, Jessi Erlichman, Erica Sibinga, Deanna Kerrigan, Ruth Q Wolever, Mark Dreusicke, Kim Wyche-Etheridge, Regina Offodile, Susanne Tropez-Sims, Kristen Kraemer, Daniel Litrownik, Marilyn Moy, Peter Wayne, Douglas Beach, Elizabeth Klings, Harry Reyes Nieva, Adlin Pinheiro, Roger Davis, Gloria Yeh, Jeffery Dusek, Natalie Dyer, Jessica Surdam, Erica Sharpe, Alison Lacombe, Adam Sadowski, John Phipps, Ryan Heer, Savita Rajurkar, Doug Hanes, Ryan Bradley, Jerome Sarris, Ruth Q Wolever, Michael TM Finn, Denise Shields, Lisa Squires, Allison Moomaw, Richa Gawande, Timothy Creedon, Alexandra Comeau, My Ngoc To, Caitlyn Wilson, Lydia Smith, Todd Griswold, Benjamin Cook, Zev Schuman-Olivier, Daniel Hall, Christina Luberto, Alexandros Markowitz, Helen Mizrach, Nevita George, Giselle Perez, Nicole Detore, Gregory Fricchione, Daphne Holt, Louisa Sylvia, Elyse Park, Dennis Muñoz-Vergara, Weronika Grabowska, Gloria Y Yeh, Kristin Schreiber, Christene A Huang, Ann Marie Zavacki, Peter M Wayne, Charlene Hoi Lam Wong, Irene Xin Yin Wu, Lynda G Balneaves, Raymond SK Lo, Claudia M Witt, Justin Che Yuen Wu, Ting Hung Leung, Vincent Chi Ho Chung, Saad Ahmed, Catherine J Zhang, Jeremy Y Ng, Blake Langley, Jennifer Ryan, Douglas Hanes, John Phipps, Emily Stack, Thomas Metz, Fred Stevens, Ryan Bradley, Rylea Ranum, Ann Vincent, Loren Toussaint, Donya Nemati, Rachel Hinrichs, Alisa Johnson, Romy Lauche, Niki Munk, Niki Munk, Mica Rosenow, Samantha Zabel, Karen Boulanger, Mica Rosenow, Niki Munk, Dana Dharmakaya Colgan, Kaylie Green, Ashley Eddy, Lynn Marshall, Barry Oken, Dana Dharmakaya Colgan, Dan Klee, Tab Memmott, Austin Thompson, Hans Carlson, Lynn Marhshall, Barry Oken, Michael Datko, Jacqueline Lutz, Richa Gawande, Alexandra Comeau, My Ngoc To, Jenny Gan, Gaelle Desbordes, Vitaly Napadow, Zev Schuman-Olivier, Emily Gathright, Julie DeCosta, Brittany Balletto, Melissa Feulner, Michael Carey, Lori Scott-Sheldon, Elena Salmoirago-Blotcher, Erik Groessl, Adhana McCarthy, Danielle Casteel, Symone McKinnon, Grace Langford, Joseph Sauer, Bruriah Horowitz, Christina Sauer, Riley Dow, Samir Sejpal, John Kalapurakal, David Victorson, Christina Luberto, Amy Wang, Sydney Crute, Jeff Huffman, Gloria Yeh, Elyse Park, Linda Chao, Wolf Mehling, Margaret Chesney, Jennifer Lee, Amanda N Lee, Steven Martinez, Deborah E Barnes, Joseph Sauer, Grace Langford, Bruriah Horowitz, Christina Sauer, Shruti Parthasarathy, Samir Sejpal, John Kalapurakal, David Victorson, Chwan-Li Shen, Chanaka Kahathuduwa, Ming-Chien Chyu, Jean-Michel Brismée, Ami Knox, Rui Wang, Hui-Ying Luk, Casey Appell, Michael O’Boyle, Mimi Zumwalt, Jaehoon Lee, Bruce Watkins, Volker Neugebauer, David Victorson, Britt Hanson, Nicholas Kirwen, Daniel Shevrin, Rebecca Erwin Wells, Nathaniel O’Connell, Charles R Pierce, Paige Estave, Donald B Penzien, Elizabeth Loder, Fadel Zeidan, Timothy T Houle, Marc Brodsky, Hannah R Brown, Emily R Friedman, Michael TM Finn, A Grace Kelly, Kathryn Hansen, Lisa Conboy, Melanie Chieng, Emily Friedman, Hannah Brown, Michael Finn, A Grace Kelly, Kathryn Hansen, Bruriah Horowitz, Christina Sauer, Shruti Parthasarathy, Todd Morgan, Alexander Kutikov, Kristian Novakovic, David Victorson, Lisa Kamsickas, Elaine Cheung, Veronika Grote, Caroline Leong, Elizabeth Addington, Judith Moskowitz, Maryanna Klatt, Olivia Gabram, Shi-bing Liang, Ying-Ying Zhang, Chen Shen, Chang-Hao Liang, Bao-Yong Lai, Ning Dai, Yu-Qi Li, Zi-Yu Tian, Xiao-Wen Zhang, Yue Jiang, Min Xiong, Ya-Peng Zhang, Ying Zhang, Nicola Robinson, Jian-ping Liu, Chunli Lu, Fei Dong, Hongliang Liu, Xinyan Jin, Ruoxiang Zheng, Xuehan Liu, Nicola Robinson, Jianping Liu, Rashmi Mullur, Kirsten Tillisch, Jill Schneiderhan, Suzanna Zick, Anup Bhandiwad, Erin Hendriks, Tamara Schult, Kavitha Reddy, Nancy Donovan, Lauri Phillips, Cynthia Gantt, Ilana Seidel, Brett Garcia, Rudolph Cendreda, Natalie Purcell, Karen H Seal, Esther Sternberg, Shujuan Li, Bo Yang, Altaf Engineer, Philip Stoker, Young-Jun Son, Mattias Mehl, Yijie Chen, Austin Young, Gabrielle Spickard, Rebecca Blakiston, America Curl, Hui Yi Khor, Ziyin Soon, Amreeta Dhanoa, Lakshmi Selvaratnam, Kyi Kyi Tha, Ziyin Soon, Hui Yi Khor, May Kyi Zay Hta, Amreeta Dhanoa, Lakshmi Selvaratnam, Kyi Kyi Tha, Malik Tiedt, Paula Gardiner, Jennifer Leeman, Susan Gaylord, Vanessa Miller, Kim Faurot, Kris Karvelas, Jessica Barnhill, Aisha Chilcoat, Isabel Roth, Rebecca Erwin Wells, Suzan R Farris, Licia Grazzi, Miya Holley, Anna Dorsett, Kelly Xing, Charles R Pierce, Paige M Estave, Nathaniel O’Connell, Emily Williams, Harini Pallerla, Susan McDonald, Laura Malosh, Sonali Doshi, Sian Cotton, Belle Zaccari, Jennifer Loftis, Kimberly Hubbard, Terri Haywood, Ursula Kelly, Melissa Zappa, Shelley White, Darren Walker, Kim Walker, Belinda Anderson, Sai Dudla, Paul Marantz, Benjamin Kligler, Brent Leininger, Roni Evans, Patricia Lebensohn, Victoria Maizes, Mari Ricker, Audrey Brooks, Alexandra Vacca, Darragh A Dzisiak, Kevin Gilotra, Jessica B Saini, Jeremy Y Ng, Blake Langley, Sara Guedry, Joshua Goldenberg, Douglas Hanes, Jennifer Beardsley, Jennifer Ryan, Robin Austin, Sheng-Cheih Lu, Connie White Delaney, Mary Koithan, Mary Jo Kreitzer, Deborah Ringdahl, Serena Bezdjian, Robb Russell, Louis Kazal Jr., Justin Goehl, Andrew Toler, James Whedon, Trevor Lentz, Robert Saunders, Jonathan Gonzalez-Smith, Christine Goertz, Katie Huber, William Bleser, Suzanne Grant, Carolyn Ee, Kate Templeman, Michael de Manincor, Nicole Ableson, Guoyan Yang, Kathy Tannous, Jennifer Reath, Jeffery Dusek, Kalpana ShereWolfe, Rachel Silk, Mia Lynch, Adrian Jones, Carla Alexander, Umair Tahir, Simran Dhaliwal, Jeremy Y Ng, James Whedon, Curtis Petersen, Jon Lurie, William Schoellkopf, Todd MacKenzie, Scott Haldeman, Charlene Hoi Lam Wong, Irene Xin Yin Wu, Jon Adams, Amie Steel, Jon Wardle, Justin Che Yuen Wu, Ting Hung Leung, Vincent Chi Ho Chung, Lisa Yen, Katherine Smith, Leeann Hays, Julie Oijala, Ruth Q Wolever, Robert Abbott, Kyle Sherwin, Hannah Klopf, Holly Mattingly, Kelly Brogan, Avineet Luthra, Aarthi Harini J, Rajesh KN, Sanjith Aaron, Archana Purushotham, Anthony Rossi, Meg Hauer, Janet Funk, Ryan Bradley, Courtney Pickworth, Douglas Hanes, Ryan Wexler, Adam Sadowski, Lita Buttolph, Hadil Sarrar, Jillian Moehle, Michelle Torrens, Joanna Harnett, Erica McIntyre, Janet Schloss, Amie Steel, Jon Adams, Christina Sauer, Bruriah Horowitz, Shruti Parthasarathy, Kim Feingold, Rita Szymanski, Dershung Yang, David Victorson, Teresa Horton, Susan Redden, Peyton Meyer, Olivia Poole, Daniel Hostetler, Bruriah Horowitz, Sheri Gibson, David Victorson, Yan Ma, Kristen Kraemer, Jiaxuan Lyv, Gloria Yeh, Alisha E Sharma, Ekaterina Dogadova, Stephanie Ka Ching Lau, Zainib Nazir, Hosna Sahak, Harmy Thakar, Jeremy Y Ng, Arya Nielsen, Heather Tick, Nandana D Parakh, Jeremy Y Ng, Raymond Teets, Arya Nielsen, Paul Meissner, Steffany Moonaz, Hyowoun Jyung, Donna Mah, Belinda Anderson, MIrta MIlanes, Eve Walter, Ben Kligler, Rahil Hernandez, Adhana McCarthy, Danielle Casteel, Erik Groessl, Carol Hafey, Jeremy Y Ng, Tushar Dhawan, Ekaterina Dogadova, Zhala Taghi-Zada, Alexandra Vacca, David Moher, Stephanie Sohl, Deborah Lee, Heather Davidson, Blaire Morriss, Rebecca Weinand, Katherine Costa, Edward Ip, James Lovato Lovato, Russell Rothman, Ruth Wolever, Robin Austin, Jeana Holt, Kara Odom, Sripriya Rajamani, Karen Monsen, Aisha Chilcoat, Jessica Barnhill, Keturah Faurot, Susan Gaylord, Malik Tiedt, Isabel Roth, Sherry Chesak, Susanne Cutshall, Debbie Fuehrer, Julie Denison, Virginia Burke, Vicki Tepper, Katherine Merrill, Elizabeth Abrams, Amy Knowlton, Renata Arrington-Sanders, Allison Agwu, Deanna Kerrigan, Erica Sibinga, Mark Dreusicke, David Rychener, Adam Rindfleisch, Nicole Daigle, Debonie Lewis, Amanda Hull, Eileen Dryden, Rendelle Bolton, Justeen Hyde, Kelly Dvorin, Juliet Wu, Lauri Philips, Barbara Bokhour, Natalie Dyer, Ann Baldwin, Rosemary Pharo, Feona Gray, Margaret M Gorvine, Nickolas D Zaller, Jeffrey Greeson, Emma McBride, Rahil Mounira Hernandez, Alec Terrana, Douglas Ziedonis, Deepa Sannidhi, Adhana McCarthy, Josh Kaplan, Daniel Klee, Dharmakaya Colgan, Barry Oken, Raymond Lord, Kayley Okst, Sarah K. Moore, Lydia Smith, Thomas Fatkin, Caitlyn Wilson, Timothy Creedon, Farah Samawi, Richa Gawande, Alaine Kiera Fredericksen, Alexandra Oxnard, David Roll, Zev Schuman-Olivier, Shruti Parthasarathy, Christina Sauer, Bruriah Horowitz, Daniel Lynam, Jochen Hylbert, Clayton McCaulley, David Victorson, Els A Peeters, Julia Jansen, Femke Talsma, Ines A von Rosenstiel, Tamara Schult, Lauren Byma, David Mohr, Kavitha Reddy, Katherine Smith, Claudia Joy Wingo, Rebecca Pille, Chelsey Barrett, Amanda Breon, Kimberly Davis, Daryl Nault, Krishna Taneja, Amelia Villagomez, Julie Tomkins, Matt Erb, Noshene Ranjbar, Irina Todorov, Andrea Sikon, Elizabeth Pfoh, Victoria Shaker, Sara Warber, Bridget Quinn, Katherine Irvine, Katherine Irvine, Daniel Fisher, Mags Currie, Melissa Marselle, Sara Warber, Alexandra Wimberly, Kristen Rawlett, Loraine Arikat and Shawna Murray-Browne in Global Advances in Health and Medicine

Published
2022
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31. Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions

Author

Wang, Ning, primary, Du, Ninglin, additional, Peng, Yonghong, additional, Yang, Kuo, additional, Shu, Zixin, additional, Chang, Kai, additional, Wu, Di, additional, Yu, Jian, additional, Jia, Caiyan, additional, Zhou, Yana, additional, Li, Xiaodong, additional, Liu, Baoyan, additional, Gao, Zhuye, additional, Zhang, Runshun, additional, and Zhou, Xuezhong, additional

Published
2021
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32. 2021 Integrative Medicine & Health Symposium Abstracts

Author

Shu, Zixin, primary, Chang, Kai, additional, Zhou, Yana, additional, Peng, Chaoan, additional, Li, Xugui, additional, Cai, Wei, additional, Wei, Li, additional, Zhang, Boli, additional, Tong, Xiaolin, additional, Liu, Baoyan, additional, Zhou, Xuezhong, additional, Chan, Kam Wa, additional, and Li, Xiaodong, additional

Published
2021
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33. Add-On Chinese Medicine for Coronavirus Disease 2019 (ACCORD): A Retrospective Cohort Study of Hospital Registries

Author

Shu, Zixin, primary, Chang, Kai, additional, Zhou, Yana, additional, Peng, Chaoan, additional, Li, Xugui, additional, Cai, Wei, additional, Wei, Li, additional, Zheng, Qiguang, additional, Tian, Haoyu, additional, Xia, Jianan, additional, Yang, Kuo, additional, Wang, Ning, additional, Liu, Jifen, additional, Min, Xiaojun, additional, Yan, Dengying, additional, Sun, Jing, additional, Wu, Huan, additional, Li, Xiaomeng, additional, Zheng, Yi, additional, Yu, Zecong, additional, Lu, Xi, additional, Yang, Yuxia, additional, Jia, Ting, additional, Ji, Jinghui, additional, Zou, Qunzheng, additional, Wang, Yinyan, additional, Xiao, Minzhong, additional, Zhang, Qing, additional, Xiong, Yajuan, additional, Sun, Feng, additional, Zhu, Qiang, additional, Jiang, Xingxing, additional, Wang, Guodong, additional, Tang, Sydney Chi-Wai, additional, Zhang, Junhua, additional, Li, Xiuyang, additional, Zhang, Nevin, additional, Zhang, Boli, additional, Tong, Xiaolin, additional, Liu, Baoyan, additional, Zhou, Xuezhong, additional, Chan, Kam Wa, additional, and Li, Xiaodong, additional

Published
2021
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36. Add-On Semi-Individualized Chinese Medicine for Coronavirus Disease 2019 (ACCORD): A Retrospective Cohort Study of Hospital Registries

Author

Shu, Zixin, primary, Chang, Kai, additional, Zhou, Yana, additional, Peng, Chaoan, additional, Li, Xugui, additional, Cai, Wei, additional, Wei, Li, additional, Zheng, Qiguang, additional, Tian, Haoyu, additional, Xia, Jianan, additional, Yang, Kuo, additional, Wang, Ning, additional, Liu, Jiifen, additional, Min, Xiaojun, additional, Yan, Dengying, additional, Sun, Jing, additional, Wu, Huan, additional, Li, Xiaomeng, additional, Zheng, Yi, additional, Yu, Zecong, additional, Lu, Xi, additional, Yang, Yuxia, additional, Jia, Ting, additional, Ji, Jinghui, additional, Zou, Qunsheng, additional, Wang, Yinyan, additional, Xiao, Minzhong, additional, Zhang, Qing, additional, Xiong, Yajuan, additional, Sun, Feng, additional, Zhu, Qiang, additional, Jiang, Xingxing, additional, Wang, Guodong, additional, Tang, Sydney C.W., additional, Zhang, Junhua, additional, Li, Xiuyang, additional, Zhang, Nevin, additional, Zhang, Boli, additional, Tong, Xiaolin, additional, Liu, Baoyan, additional, Zhou, Xuezhong, additional, Chan, Kam Wa, additional, and Li, Xiaodong, additional

Published
2020
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