Projects and Publications
Ongoing Digital Projects
Dual-engine HIV drug resistance interpretation platform integrating rule-based mutation frameworks and machine learning–based phenotypic modeling.
Status: Validation manuscript submitted. Deployment manuscript in preparation.
Clinical and syndromic decision intelligence engine for infectious disease modeling.
Status: Active development and module expansion.
Population-level syndemic risk modeling framework using multi-country survey datasets.
Status: Applied across DHS datasets (>500,000 individuals). Manuscript in preparation.
Submited and Under review
Published Research Relevant to ICV
Subtype-Specific Mutation Signatures in Ethiopian HIV-1 Isolates
Belete W., Yimam G., Yiming S., et al.Status: Under revision (Journal of Clinical Microbiology)Subtype-specific mutation pattern analysis in clinical cohorts.
Benchmarking Ensemble Methods for HIV-1 Phenotypic Resistance Prediction
Yimam G., Kang L., Belete W.Status: In preparation (Target: Bioinformatics, 2026)Comparative modeling using ElasticNet, LightGBM, XGBoost, and Random Forest for fold-change prediction.
HIV-1 Genetic Diversity and Drug Resistance in Karachi, Pakistan
Rashid A., Kang L., Yi F., Getaneh Y., et al.Viruses, 16(6) (2024)DOI: 10.3390/v16060962
Related Manuscripts & Ongoing Work
CRPS Optimization for Clinical ML Model Selection
Yimam G., Kidist Z., Minilik D.Status: Technical Report (PhenoGenX, 2025)Methodological framework for CRPS-based ensemble selection in HIV resistance modeling.
Subtype-Specific Mutation Signatures in Ethiopian HIV-1 Isolates
Belete W., Yimam G., Yiming S., et al.Status: Under revision (Journal of Clinical Microbiology)Subtype-specific mutation pattern analysis in clinical cohorts.
Benchmarking Ensemble Methods for HIV-1 Phenotypic Resistance Prediction
Yimam G., Kang L., Belete W.Status: In preparation (Target: Bioinformatics, 2026)Comparative modeling using ElasticNet, LightGBM, XGBoost, and Random Forest for fold-change prediction.
