Institutional-level exploration of genetic and metabolic patterns to establish the scientific foundations of personalized health

Program Mission and Objective

The National Bioinformatics and Personalized Health Research Program aims to establish a nationwide research infrastructure that enables the integrated analysis of genetic, epigenetic, and metabolic data in order to scientifically ground future personalized health and precision-medicine approaches.

The program is not a clinical care system and does not perform individual therapeutic decision-making. Its purpose is to:

– identify research directions and biological correlations,

• – map population-level and subgroup-level risk and resilience patterns,
• – provide a robust scientific and methodological basis for future health-technology innovation.

Core Conceptual Framework

The program approaches health as a complex biological system, rather than a collection of isolated biomarkers.

Key principles:

• – multi-dimensional biological data integration,
• – analysis of genetic–metabolic interaction networks,
• – identification of long-term patterns and correlations across populations.

The focus is scientific discovery and validation, not diagnosis.

Research and Operational Pillars

1. National Bioinformatics Research Infrastructure

• – unified data processing and analytical frameworks,
• – interoperability between universities and research institutes,
• – secure handling of large-scale biological datasets.

2. Biological Pattern Research

• – integrated analysis of genetic and metabolic data,
• – investigation of lifestyle and environmental influences,
• – identification of population-level and subgroup-specific biological patterns.

3. Research Decision-Support Platform

• – interpretable outputs from bioinformatic analyses,
• – support for hypothesis generation and research prioritization,
• – reproducible, well-documented analytical methodologies.

Program Phases (2–6 Years)

Phase 1 – Foundational Phase (Years 1–2)

• – establishment of research protocols and data-governance frameworks,
• – launch of pilot research projects,
• – strengthening institutional collaboration.

Phase 2 – Expanded Research Phase (Years 3–4)

• – inclusion of additional research institutions,
• – creation of large, comparable national datasets,
• – participation in international research collaborations.

Phase 3 – Consolidation and Knowledge Transfer (Years 5–6)

• – system-level synthesis of research outcomes,
• – scientific publications and policy-relevant recommendations,
• – groundwork for future clinical and industrial applications.

Institutional Stakeholders

• – universities and research institutes,
• – biobanks and data-management organizations,
• – ministries responsible for health, research, and innovation,
• – international research networks,
• – bioinformatics and technology developers.

Expected Scientific and Societal Impact

• – strong scientific foundation for personalized health and precision medicine,
• – standardized and reproducible bioinformatics methodologies,
• – enhanced international research competitiveness,
• – data-driven prioritization of health research initiatives,
• – long-term growth of national innovation capacity.

Alignment with the AVA Development Framework

Within this program, AVA functions as a research-support intelligence layer, providing:

• – structuring of highly complex biological data spaces,
• – identification of patterns, correlations, and latent structures,
• – prioritization of research directions and exploratory hypotheses.

The National Bioinformatics and Personalized Health Research Program thus represents a cornerstone of long-term, science-driven Bio–Nano and health-technology development, ensuring that future applications rest on validated, institutionally credible knowledge.