About ICV
Integrated Computational Viromics & Digital Health Analytics (ICV Analytics)
ICV Analytics is an independent digital health and computational epidemiology initiative focused on advancing precision infectious disease analytics through data science, machine learning, and molecular interpretation systems.
ICV Analytics integrates:
- Computational virology
- Genomic drug resistance modeling
- Syndemic vulnerability analytics
- AI-assisted clinical decision support systems
- Public health data platforms
The initiative bridges research, digital infrastructure, and real-world implement
Our Mission
To develop scalable, scientifically validated digital platforms that strengthen infectious disease interpretation, surveillance, and decision-making in both high-income and resource-limited settings.
Our Focus Areas
HIV Drug Resistance & Precision Analytics
Development of PGX (PhenoGenX), a dual-engine resistance interpretation platform integrating rule-based algorithms and machine learning–based phenotypic modeling.
Syndemic Vulnerability Modeling
Population-level risk modeling using multi-country DHS data to quantify structural vulnerability patterns and inform targeted interventions.
Digital STI Decision Support (SynDx)
AI-assisted syndromic modeling tools for resource-constrained healthcare environments.
Integrated Public Health Dashboards
Data-driven visualization platforms linking epidemiologic modeling with actionable insights.
Scientific Principles
ICV Analytics operates under:
- Reproducible computational workflows
- Transparent algorithmic validation
- Cross-validation and calibration standards
- Evidence-based digital implementation
- Ethical data governance
Vision
To establish ICV Analytics as a global digital hub for precision infectious disease intelligence — integrating genomic data, population-level modeling, and AI-assisted decision systems.
