My current work is in pharmacogenomics of infectious diseases, based at the Pharmacogenomics and Genomic Medicine Group (PGMG) & Lab, University of Cape Coast, School of Medical Sciences. I investigate how genetic variation shapes drug response in African populations, and what that means for the way we treat disease here.
Characterizing population-specific genetic variants influencing drug response among Ghanaian patients with diseases including HIV, HBV, Malaria and Metabolic disorders.
Built a machine learning model to classify brain tumor types from gene expression data, reaching 85% accuracy. Used SHAP to explain the model's predictions and uncovered a genuine biological pattern.
Tools: Python, scikit-learn, SHAP, pandas
Ryabinina, O., Twum, J. A., Anyimadu, J., Addison, H. K., Amoako, J. P., Nyarko, S. B., & Thomford, N. E. (2026). Age-Related Variations in Clinical and Biochemical Profiles of People Living With HIV. AIDS Research and Treatment, Article 1670270. https://doi.org/10.1155/arat/1670270
Amoako, J. P., Owusu-Andoh, A., Charan, P. S. V. V., et al. (2026). Cell-free mitochondrial DNA as a damage-associated molecular pattern and candidate biomarker in sickle cell disease vaso-occlusive crisis: A scoping review. Research Square. https://doi.org/10.21203/rs.3.rs-10864540/v1
