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隨著大數據技術的蓬勃發展,醫學研究進入了全新時代,藉由分析與應用龐大的數據集,能夠大幅提升臨床診斷的精確度、醫療決策的效率及個人化健康管理的推展。台灣健康資訊交換第七層協定協會(HL7 Taiwan)推動國際HL7健康資訊交換標準在國內的發展與應用已超過十五年。HL7標準的核心目的,是促進異質醫療資訊系統之間的有效交換、管理及整合,從而提升病患健康照護與管理的品質,並為醫療服務的評估提供關鍵數據支持。
本次研討會將匯聚來自醫學研究、數據科學、人工智慧等多個領域的頂尖專家,共同探討大數據在醫療健康領域的前沿應用與未來發展趨勢,並且結合HL7標準,進一步探討如何利用健康資訊交換技術優化醫療服務與健康管理。透過這次國際性的平台,與會者將有機會與國內外頂尖醫療資訊專家、研究學者以及產業領袖進行深入交流,拓展技術合作與商業契機,因此,大會歡迎對本議題有興趣的各界朋友前來共襄盛舉。*本論壇將以全英文進行。
With the rapid development of big data technology, medical research has entered a new era. By analyzing and applying vast datasets, it is possible to significantly enhance the accuracy of clinical diagnoses, the efficiency of medical decision-making, and the promotion of personalized health management. Health Level Seven Taiwan (HL7 Taiwan) has been promoting the development and application of the HL7 International health information exchange standards in the country for over fifteen years. The core purpose of the HL7 standards is to facilitate the effective exchange, management, and integration of heterogeneous medical information systems, thereby improving the quality of patient health care and management, and providing critical data support for the evaluation of medical services.
This seminar will bring together leading experts from various fields, including medical research, data science, and artificial intelligence, to explore the pioneering applications and future development trends of big data in the healthcare sector. It will also incorporate HL7 standards to further discuss how to optimize medical services and health management using health information exchange technologies. Through this international platform, participants will have the opportunity to engage in in-depth discussions with top medical information experts, researchers, and industry leaders from both domestic and international backgrounds, fostering technological collaboration and business opportunities. Therefore, the conference warmly welcomes all interested parties to join and participate.*This Conference will be conducted entirely in English.
- 活動名稱 Event Name2024大數據醫學研究國際研討會 2024 International Conference on Biomedical Big Data Research
- 主辦單位 Organizer
- 協辦單位 Co-organizer
- 大會籌辦委員會 Organization Committee
- 大會主席
President & Congress Chair蔡明哲
Ming-Che Tsai - 委員會主席
Committee Chair魏正宗
James Cheng-Chung Wei - 委員會成員
Committee member呂宗學
Tsung-Hsueh Lu - 委員會成員
Committee member葉志嶸
Chih-Jung Yeh - 委員會成員
Committee member邱政元
Thomas Chiou - 委員會成員
Committee member洪堯民
Yao-Min Hung - 委員會成員
Committee member張明哲
Ming-Che Chang - 委員會成員
Committee member梁培英
Pui-Ying Leong - 委員會成員
Committee member楊登和
Deng-Ho Yang - 委員會成員
Committee member霍安平
An-Ping Huo - 委員會成員
Committee member曹傑漢
Chien-Han Tsao - 委員會成員
Committee member吳汐淇
Shih-Chi Wu - 委員會成員
Committee member張人尹
Ren-In Chang - 委員會成員
Committee member楊樹文
Su-Boon Yong - 委員會成員
Committee member許閔彥
Min-Yen Hsu - 委員會成員
Committee member張幸初
Shin-Tsu Chang - 委員會成員
Committee member陳治維
Chih-Wei Chen - 委員會成員
Committee member黃景揚
Jing-Yang Huang - 委員會成員
Committee member王秀英
Shiow-Ing Wang - 委員會成員
Committee member洪正憲
Cheng-Hsien Hung - 委員會成員
Committee member彭武村
Wuu-Tsun Perng - 委員會成員
Committee member黃新心
Shin-Shin Huang
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- 交通資訊 Traffic information
- 活動地點 Event Location2024年12月7日 研討會
December 7th, 2024 Conference
中山醫學大學誠愛樓9樓第一演講廳 (402台中市南區建國北路一段110號)
9F, Cheng Ai Building, Chung Shan Medical University (No. 110, Section 1, Jianguo North Road, Taichung City, Taiwan)
2024年12月8日 工作坊
December 8th, 2024 Workshop
中山醫學大學正心樓6樓0613電腦教室 (402台中市南區建國北路一段110號)
6F, Jeng Shin Hall, Chung Shan Medical University (No. 110, Section 1, Jianguo North Road, Taichung City, Taiwan) - 活動日期 Event Date2024年12月7日至8日 December 7-8, 2024
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身份
Identity早鳥價 Early-bird
Before 2024/11/20優惠價 Regular
2024/11/21 - 12/06現場價 On-site
2024/12/07 - 12/08*擇一付款*
*Choose one for payment**擇一付款*
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*Choose one for payment*TWD USD TWD USD TWD USD 2024/12/7 研討會 Conference *11/21-12/5 三人同行享8折優惠 20% discount for groups of three(來信申請 apply via email) 一般
DelegateNT$ 3,000 US$ 100 NT$ 3,600 US$ 120 NT$ 4,200 US$ 140 學生
StudentNT$ 1,500 US$ 50 NT$ 1,800 US$ 60 NT$ 2,100 US$ 70 2024/12/7 晚宴 Welcome Dinner (暫定地點Provisional Location:女兒紅婚宴會館Your Home Wedding Hall Taichung)每人
Per PersonNT$ 1,000 US$ 35 2024/12/8 工作坊 Workshop *報名至12/5截止Registration deadline on December 5th*一般
DelegateNT$ 20,000 US$ 660 會員或中山同仁
Member or CSH StaffNT$ 15,000 US$ 500 學生暨會員
Member and StudentNT$ 5,000 US$ 160 - 推薦飯店 Hotel recommendations
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長榮桂冠飯店(台中) Evergreen Laurel Hotel(Taichung)
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台中李方愛美酒店 Le Méridien Taichung
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台中豐邑MOXY酒店 MOXY TAICHUNG
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2024 International Conference on Biomedical Big Data Research
This Conference is available for online participation.
December 7th Agenda
- TIMETOPICSPEAKER
- Time:0900-0915Topic:
Opening lecture & Group photo
開場演講與團體照Speaker:
Ming-Che Tsai
蔡明哲總院長
Superintendent, Chung Shan
Medical University Hospital
中山醫學大學附設醫院 - Time:0915-0945Topic:
Moderator:Ming-Che Tsai 蔡明哲總院長
Superintendent, Chung Shan Medical University Hospital
中山醫學大學附設醫院
Unifying Taiwan's Medical Research Data: FHIR-Driven Data Standardization with Taiwan Core and TW Core Plus
一致化台灣的醫學研究數據:透過 FHIR 驅動的數據標準化,結合 Taiwan Core 與 TW Core PlusSpeaker:
Chien-Chang Lee
李建璋處長
Director, Department of Information Management,
Ministry of Health and Welfare
衛生福利部資訊處 - Time:0945-1015Topic:
Moderator:Thomas Chiou 邱政元教授兼系主任
Professor and Chairman, Department of Health Policy and Management, Chung Shan Medical University
中山醫學大學醫療產業科技管理學系
Observational Health Data Research in the Era of Artificial Intelligence
AI時代的觀察性健康數據研究Speaker:
Min-Huei Hsu
許明暉教授
Professor and Chief Data Officer,
Taipei Medical University
台北醫學大學大數據科技及管理研究所 - Time:1015-1030Group photo/Break & Poster/Booth viewing
團體照/中場休息/海報及攤位參觀 - Time:1030-1100Topic:
Moderator:Min-Huei Hsu 許明暉教授
Professor and Chief Data Officer, Taipei Medical University
台北醫學大學大數據科技及管理研究所
Omics Data in the AI Era: Unveiling Statistical Advances and Challenges
AI時代的組學數據:揭示統計進展與挑戰Speaker:
Yu Shyr
石瑜教授
Department of Biostatistics, Vanderbilt University Medical Center, U.S.A
美國范德堡大學醫學中心生物統計學系 - Time:1100-1130Topic: Moderator:Chih-Wei Chen 陳治維副主任
Deputy Director, Data Finance Innovation Center, National Yang Ming Chiao Tung University
國立陽明交通大學數據金融創新中心
Opportunities for Global Real-World Data and Evidence to Contribute to Human Health in the Era of Artificial Intelligence
AI時代中,全球真實世界數據與證據對人類健康的貢獻機會Speaker:
Mui Van Zandt, MS
Vice President, Global Head of Data Strategy, IQVIA - Time:1130-1200Topic:
Moderator:James Cheng-Chung Wei 魏正宗副院長
Vice Superintendent, Medical Research Department, Chung Shan Medical University Hospital
中山醫學大學附設醫院醫研部、過敏免疫風濕科
The Role of Artificial Intelligence in Evidence Search, Synthesis, and Evaluation
AI 在證據搜尋、整合與評估中的角色Speaker:
Yaolong Chen
陳耀龍執行院長
Professor for health data, evidence and guidelines Dean, Institute of Health Data Science, Lanzhou University
蘭州大學健康資料科學研究院 - Time:1200-1330Lunch, Board meeting, Video demo
午餐/理監事會議/影片示範 - Time:1330-1400Topic:
Moderator:Hao Jan Yang 楊浩然教授
Professor and Chair, Department of Public Health, Chung Shan Medical University
中山醫學大學公共衛生系教授兼系主任
Global Burden of Diseases study in Rheumatic and Musculoskeletal Diseases
全球風濕性疾病與肌肉骨骼疾病負擔研究
Hai-Feng Pan
潘海峰教授
Vice Dean of the School of Public Health at Anhui Medical University
安徽醫科大學公共衛生學院 - Time:1400-1430Topic: Moderator:Ren-In Chang 張人尹主任
Director, Clinical Trial Division, Department of Medical Education and Research Kaohsiung Veterans General Hospital
高雄榮民總醫院臨床試驗科
Power of TriNetX Platform for RWE Publications TriNetX
平台在真實世界數據 (RWE) 發表中的力量Speaker:
Gema Hernández Ibarburu, PhD
Academic Research and Education Support Lead, TriNetX - Time:1430-1500Topic:
Moderator:Su-Boon Yong 楊樹文醫師
Attending Physician, Division of Pediatric Allergy, Immunology, and Rheumatology, China Medical University Children’s Hospital
中國醫藥大學兒童醫院 兒童過敏免疫風濕科 主治醫師
The Pros and Cons of NHIRD and TriNetX
健保資料庫及TriNetX優缺點分析Chun-Ying Wu
吳俊穎所長
Chair Professor and Director of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan
國立陽明交通大學生物醫學資訊研究所 - Time:1500-1515Break & Poster/Booth viewing
中場休息/海報及攤位參觀 - Time:1515-1545Topic:
Moderator:Edward, Chia-Cheng Lai 賴嘉鎮教授
Professor, School of Pharmacy National Cheng Kung University
國立成功大學藥學系
Monitoring the Safety of Medicines in Pregnancy Using healthcare Big Data
利用醫療大數據監測孕期藥物安全性
Ian Chi Kei Wong
黃志基教授
Professor, Department of Pharmacology and Pharmacy, University of Hong Kong
香港大學藥理及藥劑學系 - Time:1545-1615Topic:
Moderator:Cheng-Hsien Hung 洪正憲副組長
Vice Supervisor, Department of Pharmacy, Chang Bing Show Chwan Memorial Hospital
秀傳醫療財團法人彰濱秀傳紀念醫院藥劑科
Real-world analysis for drug effectiveness and safety - from single database to multi-database international studies
藥物有效性與安全性的真實世界分析:從單一資料庫到多國多資料庫國際研究
Edward, Chia-Cheng Lai
賴嘉鎮教授
Professor, School of Pharmacy National Cheng Kung University
國立成功大學藥學系 - Time:1615-1645Topic:
Moderator:James Cheng-Chung Wei 魏正宗副院長
Vice Superintendent, Medical Research Department, Chung Shan Medical University Hospital
中山醫學大學附設醫院醫研部、過敏免疫風濕科
Genomics England and the National Genomics Research Library
英國生物資料庫及英國國家基因體研究資料庫Speaker:
Matthew Brown, PhD
Chief Scientific Officer, Genomics England, UK - Time: 1645-1715Moderator:Yao-Min Hung 洪堯民主任
Director of Hemodialysis Unit, Taitung Hospital, Ministry of Health and Welfare
衛生福利部台東醫院血液透析室主任
Using big data in real-world clinical research: CSMU experience
大數據在真實世界臨床研究的應用:中山附醫經驗James Cheng-Chung Wei
魏正宗副院長 - Time: 1715-1730Panel discussion and Closing
討論與閉幕致詞James Cheng-Chung Wei
魏正宗副院長
December 8th Agenda
- TIME 時間AGENDA 內容SPEAKER 負責人員
- Time 時間:08:30-09:00Agenda 內容:Registration
報到 - Time 時間:09:00-09:30Agenda 內容:Introduction to Big Data Research
認識大數據研究Speaker 負責人員:James Cheng‑Chung Wei
魏正宗副院長 - Time 時間:09:30-10:00Agenda 內容:Overview of the TriNetX Database
TriNetX資料庫簡介Speaker 負責人員:Jing-Yang Hunag
黃景揚主任 - Time 時間:10:00-10:30Agenda 內容:Introduction to the Analysis Platform of the TriNetX
TriNetX 分析平台的基本功能介紹Speaker 負責人員:Jing-Yang Hunag
黃景揚主任 - Time 時間:10:30-10:45Break 休息
- Time 時間:10:45-11:15Agenda 內容:Research Design and Statistical Concepts for TriNetX Research
TriNetX research的研究設計與統計概念Speaker 負責人員:Jing-Yang Hunag
黃景揚主任 - Time 時間:11:15-12:15Agenda 內容:Generating Research Ideas and Approaches ~ Using TriNetX Research as an Example
研究議題發想與切入 - 以TriNetX research 為例Speaker 負責人員:Renin Chang
張人尹主任 - Time 時間:12:15-13:30Lunch 午餐
- Time 時間:13:30-15:00Agenda 內容:TriNetX Hands-on Operations and Exercises
TriNetX 實務操作與練習
~Introduction to the interface of TriNetX
~界面介紹
~Selecting participants for your study
~研究個案選取Speaker 負責人員:Shiow-Ing Wang
王秀英研究員 - Time 時間:15:00-15:15Break 休息
- Time 時間:15:15-16:45Agenda 內容:~Ensuring cohorts are balanced for comparability
~匹配研究個案
~Outcome comparison analysis
~分析比較
~Exporting research results
~匯出研究結果
~Data visualization
~圖表製作Speaker 負責人員:Shiow-Ing Wang
王秀英研究員 - Time 時間:16:45-17:15Agenda 內容:Initiating Research Proposal and General Discussion
研究構想提案與綜合討論Speaker 負責人員:Jing-Yang Hunag
黃景揚主任
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Ming-Che Tsai
Professor & Dean, College of Medicine, Chung Shan Medical University, Taichung, Taiwan-
PROFESSIONAL PREPARATION
Chung Shan Medical University
Taichung, Taiwan
School of Medicine
M.D., 1985
Harvard University
Boston, USA
School of Public Health
M.P.H. 1999
Chung Shan Medical University
Taichung, Taiwan
Institute of Medicine
Ph.D. 2015
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APPOINTMENTS
Professor
School of Medicine, Chung Shan Medical University
2015- Present
Vice president
Chung Shan Medical University
2020-Present
Superintendent
Chung Shan Medical University Hospital
2020-Presnet
Professor Terence Ming-Che Tsai, who served as trauma surgeon and Director of Emergency Department in National Cheng Kung University Hospital since 1999. He was appointed by the Ministry of Health as the Taiwanese disaster relief team leader for the Tsunami in Indonesia 2004. He retired in 2010, became director of the College of Medicine in Chung Shan Medical University in 2017. Currently, he is the Superintendent of Chung Shan Medical University Hospital starting in 2020. Dr. Tsai was interested in medical education and hospital management, who successfully led CSMUH during the Covid-19 pandemic. He received his MD degree at CSMU in 1985, Master of Public Health in Harvard U. in 1999, and PhD in 2015. He is a diligent scholar in both academic and clinical fields, full of experiences in problem solving and communication skills.
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Paul Chien-Chang Lee
Education
2014, Harvard University, Epidemiology, ScD
2004, National Taiwan University, Clinical Research Institute, MSc
1997, National Taiwan University, Medicine, MD
Current Position
1. Director, Department of Information Management , Ministry of Health and Welfare
2. Professor, Department of Emergency Medicine, College of Medicine, National Taiwan University
3. Consultant, NTUH Center for Intelligent Healthcare
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Min-Huei Hsu
2009.08~2010.07 Director of Neurosurgery, Taipei Municipal Wanfang Hospital
2011.03~2012.06 Director of Information Center, Department of Health, Executive Yuan
2012.07~2019.03 Director of Office of International Cooperation, Ministry of Health and Welfare
2019.03~ Professor and Director, Graduate Institute of Date Science, Taipei Medical University
2019.12~ Chief Data Officer, Office of Data Science, Taipei Medical University
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Mui Van Zandt
Director Product Development, IQVIAMui is a Director of Product Development at IQVIA, managing the OMOP Factory. Mui’s area of expertise include software development, data conversions, agile process, and project management. The OMOP Factory has been performing OMOP ETL conversions on over 12 different datasets in 6 different countries. Mui has gained extensive knowledge working on large patient databases in the OMOP model and the standard vocabularies that are needed to support these conversions.
Mui is an active contributor to the community through various OHDSI working groups. She is one of the co-leaders of the China OMOP CDM/Vocabulary working group. She leads two of the sub-working groups within the THEMIS working group. She has and continues to perform OMOP tutorial trainings to many different organizations and conference, such as the OHDSI Symposiums, the China Hackathons, and individual universities.
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Yu Shyr, PhD, Dr(hc), FASA, FAAAS, FAACR
Harold L. Moses Chair in Cancer ResearchYu Shyr received his PhD in biostatistics from the University of Michigan in 1994 and subsequently joined the faculty at Vanderbilt University School of Medicine, where he won the Hawiger Award for Excellence in Teaching in 2012 and was inducted into the Academy for Excellence in Education in 2013. Renowned for his development of integrative methods and high-impact applications of those methods, Shyr is an elected fellow of the American Statistical Association (ASA), the American Association for the Advancement of Science (AAAS), and the American Association for Cancer Research (AACR), and he holds an honorary doctorate from National Cheng Kung University. He has published more than 550 peer-reviewed papers (h-index = 124) and serves as an associate editor for JAMA Oncology and Journal of Thoracic Oncology. Shyr has presented more than 450 invited talks, workshops, and courses around the world and currently co-directs the BMSF-AACR Design and Implementation of Clinical Trials Workshop, part of Bristol Myers Squibb Foundation’s initiative to diversify clinical research.
In demand as an expert on external advisory boards and data safety monitoring committees across the United States, Shyr was a voting member of the US Food and Drug Administration (FDA) Anti-Infective Drugs Advisory Committee and has served on dozens of National Cancer Institute (NCI) study sections and panels. As principal investigator of the Barrett’s Esophagus Translational Research Network Coordinating Center (BETRNetCC), funded by an NCI U24 grant, Shyr led a team that provided crucial support for the collection, management, analysis, and dissemination of data among multiple research centers. His current projects include developing novel statistical and bioinformatic tools for biomedical research and improving experiment and clinical trial design, particularly in the areas of proteomics and genomics, with special focus on single cell RNA sequencing.
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Yaolong Chen
Professor MD, M.Sc., M.B.B.S.Dr Yaolong Chen is a professor and a guideline methodologist at the Evidence Based Medicine Centre of Lanzhou University. He is co-Director of WHO Collaborating Centre for Guideline Implementation and Knowledge Translation. He studied guideline development in McMaster University between September 2010 and March 2011 as a visiting research fellow and worked for the WHO Guidelines Review Committee between September 2013 and March 2014 as a volunteer.
Professor Chen is the Co-Founder of ADVANCED (AI-Driven deVelopment and AssessmeNt of healthCare guidElines and standard), which aims to empower healthcare with AI to deliver personalized, high-quality recommendations for all. He has authored and co-authored more than 500 peer reviewed articles on evidence-based medicine and practice guidelines. He has been invited to give numerous presentations in Cochrane colloquiums, GIN conferences and other national and international symposiums. He was involved in the development of more than 100 national and international practice guidelines over the last ten years.
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Hai-Feng Pan
Medical Doctor, Professor, Doctoral Supervisor, and Postdoctoral Cooperative
Supervisor. He is a specially-appointed professor of leading talents in Anhui
Province, a reserve candidate for academic and technical leaders in Anhui
Province, a recipient of the Anhui Youth May 4th Medal, an advanced worker in
Anhui Province, and an outstanding youth in Anhui Province. He once served as
the deputy director of the Hefei Municipal Health Commission. Currently, he is
the vice dean of the School of Public Health of Anhui Medical University, the
director of the Medical Data Processing Center, the deputy director of the
Institute of Kidney Diseases and Inflammatory Immune Diseases, and the deputy
director of the management office of the Inflammatory Immune Diseases Laboratory
of Anhui Province. He serves as the editor-in-chief of "Clinical and Molecular
Epidemiology", the deputy editor-in-chief of "International Journal of Rheumatic
Diseases", the deputy editor-in-chief of "Frontiers in Public Health", a member
of the editorial board of "Current Pharmaceutical Design", and the executive
editorial board member of "Chinese Journal of Disease Control and Prevention".
At present, as the first author or corresponding author, he has published more
than 150 papers in SCI journals such as "JAMA Pediatrics", "Nature Reviews
Rheumatology", and "Annals of the Rheumatic Diseases", with an H-index of 44. He
has won one first prize of the Chinese Medical Science and Technology Award, one
second prize of the Anhui Science and Technology Progress Award, and one third
prize of the Anhui Science and Technology Progress Award. He has presided over
four National Natural Science Foundation of China projects. He is listed in the
global top 2% leading scientists list. In 2023, he ranked third in the academic
influence of scholars in the field of rheumatology and immunology in China. He
is listed in the Expertscape global expert ranking list for systemic lupus
erythematosus and ranks first in China. One of his papers was selected as the
first in the TOP100 high-value papers in the field of rheumatology and
immunology in China in 2022. He is a member of the teaching team of the first
batch of national excellent resource sharing courses "Epidemiology" and one of
the main lecturers of the first batch of national first-class undergraduate
courses "Epidemiology". He has edited/co-edited three national planning
textbooks. He has won three first prizes and two third prizes of Anhui Teaching
Achievement Awards. -
Gema Hernández
Academic Research and Education Support LeadGema Hernández is a recognized expert in RWE research. In her role, she supports and educates investigators on leveraging TriNetX and its datasets for academic research, drawing on her extensive knowledge of the potential and challenges of healthcare RWD.
She holds a BSc in Biomedical Engineering, as well as an MSc and a PhD (Cum Laude) in Artificial Intelligence from the Polytechnic University of Madrid. Her research has been published in numerous high-impact scientific journals, including Blood Cancer Journal, Haematologica, and Diabetologia. -
Chun-Ying Wu
Institute of Biomedical Informatics, NYCU, TaiwanProf. Chun-Ying Wu received his M.D. degree from National Taiwan University (NTU) in 1991, M.P.H. degree from Harvard School of Public Health in 1993, LL.B. degree from College of Law in 2000, Tunghai University, LL.M. degree from Harvard Law School in 2023, and Ph.D. degree from NTU in 2007. Prof. Wu is currently the Chair Professor and Director of Biomedical Informatics, at National Yang Ming Chiao Tung University (NYCU) and the Director of both Health innovation Center and Microbiota Research Center at NYCU. He establishes and serves as the Director of Taiwan National Human Microbiota Core Facility, which is supported by Taiwan National Science and Technology Council (NSTC) since 2023. He also establishes Taiwan Microbiota Consortium (TMC) and serves as the first TMC President since 2017. He is now the Editor-in-Chief of Advances in Digestive Medicine, associate editor of the Journal of Gastroenterology and Hepatology, and editorial member of Gut.
Prof. Wu’s research interests focus on digestive cancer translational research, health big data and AI research, microbiota research, and legal research. Prof. Wu has published more than 300 articles in SCI journals, including JAMA, JAMA Int Med, JAMA Ped, J Clinical Oncology, Gastroenterology, Gut, J of Hepatology, Int J Surg, Hepatology, etc. He is listed as one the World’s Top 2% Scientists with H-index=64 and more than 15,000 citations. He gets several patents, such as gastric cancer screening, hepatitis B virus quantitative detection methods, microbiota to treat metabolic syndrome, etc. Prof. Wu is the winner of the 2021 and 2015 Outstanding Research Awards of Taiwan NSTC, the 2016 National Innovation Award, and the 2015 Asia-Pacific Emerging Leadership Award. Prof. Wu published 4 law textbooks and more than 100 law articles, which contribute to change the Taiwan malpractice litigation system. It is the reason. -
Ian Chi Kei Wong
Professor, University of Hong Kong and Aston University, UKthat Prof. Wu got the 2018 Taiwan Medical Model Award from Taiwan Medical Association.
Professor Ian Wong is a professor and former Head of Department of Pharmacology and Pharmacy, University of Hong Kong. He is also the holder of Regius Chair in Pharmacy at the Aston University, UK.
As an academic pharmacist with research expertise in big data analytics and neuropsychopharmacology. He has led many research programmes in the UK, European and Hong Kong. Professor Wong has over 600 publications with publication in prominent journals including Nature portfolio journals, JAMA Network Journals, The Lancet family journals, BMJ journals. According to Clarivate Analytics' Essential Science Indicators, Professor Wong has been a top 1% scholar in pharmacology and pharmacy research from 2015 to 2024.
In recognition of his research, Professor Wong has received numerous awards for his work as an academic pharmacist. He was awarded the Chemist and Druggist Pharmacy Practice Research Conference Medal from the Royal Pharmaceutical Society of Great Britain in 2004, an Honorary Fellowship from the Royal College of Paediatrics and Child Health in the UK in 2011, an Honorary Fellowship from the College of Pharmacy Practice in Hong Kong in 2013, and a Fellowship from the Royal Pharmaceutical Society in 2013, a Fellowship from British Pharmacological Society and International Society of Pharmacovigilance in 2020. -
Edward Chia-Cheng Lai, Ph.D., FISPE
Professor, School of Pharmacy, National Cheng Kung University, Tainan, TaiwanEdward is a Professor at the School of Pharmacy, National Cheng Kung University, Taiwan. He has expertise in the use of a variety of healthcare databases across Asia, Oceania, North America, and Europe in the conduct of international multi-database pharmacoepidemiologic research. His research interests include the safety and effectiveness of psychotropic, rheumatologic, and oncologic medications. He has published 100+ research articles in top journals such as BMJ, JAMA Internal Medicine, Annals of Internal Medicine, and Lancet Psychiatry. He has served as an Associate Editor of Pharmacoepidemiology and Drug Safety since 2013. He served as the chair of the Asian Pharmacoepidemiology Network (AsPEN) (2016-2018). He is an active Neurological and mental health Global Epidemiology Network (NeuroGEN) member. He was awarded the Fellow of the International Society for Pharmacoepidemiology (FISPE) designation in 2023. -
Mattew Brown, Ph.D (UK)
Chief Scientific Officer of Genomics EnglandProfessor Matthew Brown, an internationally renowned clinician-scientist, joined Genomics England as Chief Scientific Officer in 2021.
Prior to this he served as Director of the National Institute for Health Research (NIHR) Guy’s and St Thomas’ Biomedical Research Centre. He is also Professor of Medicine within the Faculty of Life Sciences and Medicine, King’s College London.
Professor Brown trained as a clinician-scientist and a rheumatologist in Australia and the UK. Previous positions include Professor of Musculoskeletal Sciences at the University of Oxford; Director of the Australian Translational Genomics Centre, Distinguished Professor, and Director of Genomics at the Queensland University of Technology; and Director of The University of Queensland Diamantina Institute and Professor of Immunogenetics at The University of Queensland.
He has made contributions to the development of gene-mapping approaches in human diseases and genome-wide association study methodology, leading to the discovery of thousands of genetic variants, with a particular interest in ankylosing spondylitis, rheumatoid arthritis, and osteoporosis.
In the genetics of rare human diseases, he has identified genes responsible for monogenic forms of arthritis, ectopic bone development, and skeletal dysplasias. He has also led efforts in Australia to translate research sequencing capability into precision medicine programs for cancer patients.
Professor Brown was elected a Fellow of the Australian Academy of Sciences in recognition for his achievements in genetics research. He still practises medicine, in the specialty of rheumatology, with a particular focus on axial spondyloarthropathies. -
James Cheng-Chung Wei, MD, PhD, FACR.
Vice superintendent, Chung Shan Medical University HospitalDr James Cheng-Chung Wei obtained his MD degree in National Yang Ming University and PhD degree in Chung Shan medical university. After training in rheumatology and clinical immunology at Taichung Veterans General Hospital and Kaohsiung Veterans General Hospital, he undertook a fellowship at the Royal National Hospital for Rheumatic Diseases in Bath, UK, under the supervision of Professor Andrei Calin, and a research fellowship at the University of California, Los Angeles (UCLA) under Professor David Yu, investigating the clinical and pathogenesis of spondyloarthritis.
He had conducted over 200 global clinical trials and about 50 investigator-initiated clinical trials. He is currently a full member of the ACR, GRAPPA and ASAS. He is also the scientific advisory board of the APALR, and Editor-in-Chief of the International Journal of Rheumatic Diseases and associate editor of the Frontiers in Immunology.
Dr Wei had published more than 600 papers in peer-reviewed SCI journals , such as the NEJM, JAMA, JAMA Network Open, Lancet, Annals of the Rheumatic Diseases, Arthritis & Rheumatology, JAAD, Rheumatology, Journal of Autoimmunity & International Journal of Rheumatic Diseases…etc.
His major research interests are translational research in ankylosing spondylitis, clinical trials and big data research in rheumatology.
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Jing-Yang Huang
- Director, Health Data Science Center, Chung Shan Medical University Hospital
- Assistant Professor, Institute of Medicine, Chung Shan Medical University
- Supervisor, Taiwan Medical Big Data Research Society
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Shiow-Ing Wang
- Research fellow, Center for Health Data Science, Chung Shan Medical University Hospital
- Academic Teaching Rank Accreditation Certificate Assistant Professor
- Business Intelligence Data Analyst (IBM SPSS Software Certificate)
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Cheng-Hsien Hung
- Vice Supervisor of Department of Pharmacy, Chang Bing Show Chwan Memorial Hospital
- Directors of Taiwan Medical Big Data Research Society
- Committee Member of the Youth Committee, Taiwan Evidence-Based Medicine Association
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Su-Boon Yong M.D., PhD.
- Consultant of Pediatrics, Asthma, Allergy, Immunology and Rheumatology.
- China Medical University Children’s Hospital (CMUCH), Taichung, Taiwan.
- Executive Editor of Journal of Microbiology, Immunology and Infection
- Associate Editor of International Journal of Rheumatic Diseases
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Yao-Min Hung, M.D., MPH, PHD
- Medical director, Dialysis center, Taitung Hospital, Ministry of Health and Welfare
- Associate Editor, International Journal of Rheumatic Diseases
- Guest editor, Pathogens Special Issue : Epidemiology of Human Papillomavirus Infection
- Assistant Professor of National Taitung University, Taitung , Taiwan
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Ren-In Chang
- Resident Physician, Department of Internal Medicine, Kaohsiung Veterans General Hospital
- Attending Physician, Department of Internal Medicine, Division of Chest Medicine and Critical Care Medicine, Kaohsiung Veterans General Hospital
- Executive Director, Taiwan Medical Big Data Research Society
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Chih-Wei Chen
- Deputy Director, Data Finance Innovation Center, National Yang Ming Chiao Tung University
- Member, National Council for Sustainable Development, Executive Yuan, Taiwan Govt.
- Member, National Action Plan, Executive Yuan, Taiwan Govt.
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Thomas Chiou
- Professor and Chair, Department of Health Policy ang ManagementChun Shan Medical University
- Vice President, Taiwan Medical Tourism Development Assosiation
- Executive Supervisor, Taiwan Medical Big Data Research Society
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Hao-Jan Yang
- Professor and Chair of Department of Public Health, Chung Shan Medical University, Taichung, Taiwan.