The conference features cutting-edge topics in artificial intelligence, bioinformatics, and the biology of aging, bringing together researchers from across Asia to share knowledge and build collaborative networks.
A
AI & Bioinformatics in Aging Biology
CORE TRACK
Cellular Senescence · Longevity · Aging Mechanisms
This foundational track explores the application of artificial intelligence and bioinformatics to understand the fundamental biological mechanisms of aging at the molecular and cellular levels.
📌 Key Research Areas
- Machine learning models for aging biomarker discovery
- Computational analysis of cellular senescence pathways
- Multi-omics integration for longevity research
- AI-driven analysis of epigenetic aging clocks
- Systems biology approaches to understanding aging hallmarks
B
AI & Bioinformatics in Age-Associated Diseases
Disease Mechanisms · Diagnostics · Predictive Models
This track focuses on leveraging computational approaches to understand, diagnose, and predict age-related diseases including neurodegenerative disorders, cardiovascular diseases, and metabolic conditions.
📌 Key Research Areas
- Deep learning for early detection of Alzheimer's and Parkinson's diseases
- Bioinformatics analysis of cardiovascular aging
- AI-powered prediction models for type 2 diabetes and metabolic syndrome
- Computational identification of disease-specific aging signatures
- Network analysis of age-related disease progression
C
AI & Bioinformatics for Drug Discovery in Age-Related Disorders
Therapeutic Development · Target Identification · Drug Repurposing
This track bridges computational science and pharmaceutical research, focusing on AI-driven approaches to identify therapeutic targets and develop novel treatments for age-related conditions.
📌 Key Research Areas
- AI-powered drug target identification for aging and age-related diseases
- Computational drug repurposing for longevity interventions
- Machine learning-based prediction of drug efficacy and safety
- Virtual screening and molecular docking for anti-aging compounds
- Systems pharmacology approaches in geroscience
D
AI & Bioinformatics for Elderly Health & Wellness
Preventive Care · Quality of Life · Health Monitoring
This track emphasizes technology-enabled approaches to promote healthy aging, focusing on prevention, early intervention, and improving the quality of life for elderly populations.
📌 Key Research Areas
- Wearable technology and AI for continuous health monitoring
- Predictive models for fall risk and frailty assessment
- Nutritional genomics and personalized diet recommendations
- AI-based cognitive assessment and mental health monitoring
- Digital health interventions for successful aging
E
Other Related Topics
Emerging Technologies · Ethics · Innovation
This track welcomes innovative research that intersects with aging science but may not fit traditional categories, including ethical considerations, novel methodologies, and interdisciplinary approaches.
📌 Key Research Areas
- Ethical implications of AI in aging research and healthcare
- Novel computational methodologies and algorithm development
- Data privacy and security in health informatics
- Socioeconomic factors in aging populations
- Cross-disciplinary applications of AI and bioinformatics
Skill Development Workshops
Hands-on workshops to enhance your research and professional skills