THE EXPERT COURSE "APPLICATIONS OF AI IN DATA ANALYSIS AND SCIENTIFIC PUBLICATION"

The course aims to equip participants with comprehensive research competencies, including rigorous research design from inception, the application of AI and advanced statistical methods for data analysis, and proficiency in manuscript preparation and publication in prestigious international journals, alongside the cultivation of strong research ethics.

Upon successful completion of the course, participants are expected to:

• Develop a coherent, rigorous, and feasible research design.
• Apply AI-powered tools for research data analysis.
• Prepare and submit a full-length scientific manuscript in English to international journals.
• Avoid common errors that may result in rejection, retraction, or violations of research integrity.

The course is designed for:

• Master’s students, doctoral students (PhD candidates) in health sciences, natural sciences, social sciences, economics, engineering, etc.;
• Early-career lecturers, researchers, science administrators at universities, healthcare institutions, and research institutes;
• Physicians, pharmacists, and nurses who wish to conduct clinical or epidemiological research etc.;
• Individuals with a strong interest in and passion for scientific research.

1. Prof Tuan V Nguyen

Prof Tuan V Nguyen is a Leadership Fellow of the National Health and Medical Research Council (Australia); Distinguished Professor and Director of the Centre for Health Technologies at the University of Technology Sydney (UTS); Adjunct Professor at the University of New South Wales; Visiting Professor at the 108 Institute of Clinical Medical and Pharmaceutical Sciences (Hanoi); and Scientific Advisor to Thong Nhat Hospital (Ho Chi Minh City).

Prof Nguyen has published over 350 peer-reviewed original publications, review articles, book chapters, and commentaries or editorials, largely from his current research interests. His work has been published in the highest-impact journals in the field, notably the Journal of Bone and Mineral Research and the Journal of Clinical Endocrinology and Metabolism. A number of key papers are published in more general journals, including the New England Journal of Medicine, Lancet, JAMA, BMJ, Nature, Nature Genetics, PNAS, and eLife. Some papers are considered pioneering in the field and have received applauded commentaries. He also serves as a peer reviewer for more than 20 medical journals, including Nature, Lancet, BMJ, JAMA, the New England Journal of Medicine, and Annals of Internal Medicine; a consultant for global pharmaceutical corporations; and a PhD thesis examiner for universities in the United States, Finland, the Netherlands, France, the United Kingdom, Canada, and Australia.

On March 23, 2026, Prof Tuan V Nguyen was awarded the Medal for Research Impact by the University of Technology Sydney (Australia), in recognition of his outstanding research with significant impact on both his discipline and broader society.

Profile page of Prof Tuan V Nguyen at UTS: Profile page

2. Dr Thach S Tran

Dr Thach S Tran is a Senior Research Officer at the Garvan Institute of Medical Research (Australia), with 20+ years of experience in experimental design and data analysis, including analysing large randomised controlled trials data, modelling complex longitudinal, time-series and correlated data, developing and validating prediction models, analysing linked health data and managing large and complex datasets. He is an author/co-author of 80 peer-reviewed original publications, 3 systematic reviews and 1 invited commentary in the top peer-reviewed journals, such as the New England Journal of Medicine, Lancet, Lancet Child Adolescent Health, JAMA, JAMA Network Open, PLoS Medicine, European Respiratory Journal, Journal of Bone and Mineral Research, Journal of Clinical Endocrinology and Metabolism, Clinical Chemistry, and Diabetes Care. He is a member of the Editorial Board of the J Bone Miner Res and the Statistical Reviewer Board of the J Clin Endocrinol Metab. He published more than 50 original papers within the last 5 years.

1. Course schedule and format

• Commencement date: 7:30 AM on Wednesday, May 20, 2026.
• Course length: 6 days (from May 20 to May 26, 2026, excluding May 23, 2026).
• Learning format: In person at Phuong Nam Institute or online via Zoom.

2. Venue

Phuong Nam Institute - 45 Dinh Tien Hoang Street, Saigon Ward, Ho Chi Minh City.

The program comprises 19 lectures, structured into two parts:

Part 1: The application of AI in research design and data analysis

• Lecture 1: Research Questions and Hypotheses
• Lecture 2: Research Design
• Lecture 3: Questionnaire Design
• Lecture 4: Sample Size Estimation Methods
• Lecture 5: Confounding Variables
• Lecture 6: Biases
• Lecture 7: Applications of AI in Data Analysis
• Lecture 8: Descriptive Analysis and Statistical Testing
• Lecture 9: Association Analysis 1: Linear Regression Models
• Lecture 10: Association Analysis 2: Logistic Regression Models

Part 2: Scientific Publication

• Lecture 11: Writing the Introduction
• Lecture 12: Writing the Methods
• Lecture 13: Preparing Figures and Tables
• Lecture 14: Writing the Results
• Lecture 15: Writing the Discussion
• Lecture 16: Writing the Abstract
• Lecture 17: Applications of AI in Scientific Writing
• Lecture 18: Responding to Peer Review
• Lecture 19: Publication Ethics

1. Tuition Fees and Discounts

All-inclusive tuition fee: VND 7,500,000 per participant.

Tuition fee discounts:

• Register and complete the payment before April 21, 2026: 10% discount.
• Register and complete the payment as a group of three (03) or more participants: 5% discount.

*** Former participants who have previously attended courses delivered by Prof Tuan V Nguyen and organized by Phuong Nam Institute are eligible for a 10% discount, plus an additional 5% discount if the tuition fee is paid before April 21, 2026. (This offer cannot be combined with the two discounts mentioned above.)

2. Payment methods

Tuition fees may be paid in cash or via bank transfer to the following account:

• Account name: VIEN PHAT TRIEN NGUON LUC XA HOI PHUONG NAM
• Account number: 2242 6789 - Orient Commercial Joint Stock Bank (OCB), Tan Thuan Branch
• Payment description: Participant’s name - Phone number - AICBQT05.26

*** Registration and payment deadline: before May 6, 2026.

Register online here: 

Or register in person at:

Phuong Nam Institute of Social Resource Development
45 Dinh Tien Hoang Street, Saigon Ward, Ho Chi Minh City

Official Announcement: here