Advancing research in artificial intelligence and bioinformatics to understand the biology of aging and age-related diseases through cutting-edge computational approaches.
Explore cutting-edge AI models, multi-omics data integration, longevity biomarkers, computational aging research, and novel therapeutic targets for age-related diseases.
In Collaboration With






This postgraduate academic forum brings together emerging researchers in AI, bioinformatics, and aging biology to explore computational approaches to understanding the biology of aging and age-related diseases.
Showcasing AI and machine learning applications in aging research and longevity science, from predictive models to therapeutic discovery.
Facilitating collaboration between computational biologists, bioinformaticians, and aging researchers across disciplines and institutions.
Advancing multi-omics data analysis, biomarker discovery, and therapeutic target identification for age-related diseases and healthspan extension.
Explore cutting-edge topics in reproductive health, maternal care, and digital innovation for sustainable development.
Leading experts in AI, bioinformatics, and aging research will share their insights on computational approaches to understanding aging biology.
Chulalongkorn University
Thailand
"Dean, Faculty of Allied Health Sciences"
MIT Computer Science & AI Lab
USA
"Deep Learning for Age Prediction from Omics Data"
Seoul National University
South Korea
"Multi-Omics Integration for Aging Research"
Indian Institute of Science
India
"Computational Models of Cellular Senescence"
Max Planck Institute
Germany
"Machine Learning in Aging Epigenetics"
University of Tokyo
Japan
"AI for Drug Discovery in Age-Related Diseases"
National University of Singapore
Singapore
"Bioinformatics Pipeline for Aging Transcriptomics"
University of Cambridge
UK
"Network Biology of Aging Processes"
University of Sao Paulo
Brazil
"AI-Powered Analysis of Aging Metabolomics"
Mark your calendar with these key milestones for the AUA Forum 2026. All deadlines are at 23:59 ICT (UTC+7).
Start Date
1 January 2026
Final Date
31 March 2026
Results Announced
15 April 2026
Special Rate Until
30 April 2026
Choose the category that best fits your academic level and complete your registration online.
THB 100
Early-bird rate
THB 150
Early-bird rate
THB 200
Early-bird rate
Experience world-class facilities at Chulalongkorn University in the heart of Bangkok.
Faculty of Allied Health Sciences
Chulalongkorn University
Bangkok 10330, Thailand
From Suvarnabhumi Airport:
30 km · 45 min by taxi · Airport Rail Link + MRT
From Don Mueang Airport:
25 km · 40 min by taxi · Bus A1 + BTS
Nearby hotels with special conference rates:
• 5-star hotels within 2 km
• Budget options available
• Booking details will be sent after registration
Can't travel? Join us virtually!
Live streaming of all keynote sessions and selected workshops available for remote participants.
For inquiries regarding registration, submissions, or sponsorship opportunities, please contact the organizing committee.
Email: aua-forum2025@chula.ac.th
Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand