This project presents one application direction of the IARIP research architecture. The presented model is currently in the research and pilot validation phase. The timelines below outline the expected validation and development steps of the IARIP research architecture across different application domains. Following research validation, IARIP aims to initiate real-world projects together with industry and market partners based on the successfully validated models.

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.