Valentine Golden Ghanem

An engaging and student-centred academic professional with over a decade of multidisciplinary experience in biomedical science, public health, and data science. Adept at delivering structured online learning, guiding students, marking assignments, and providing high-quality feedback. Combines strong analytical and communication skills with a passion for fostering an inclusive and interactive digital learning environment.

Experienced with advanced laboratory techniques and research methodologies. Utilizes in-depth knowledge to enhance experimental procedures and ensure accurate results. Strong understanding of data analysis and scientific problem-solving to drive impactful research outcomes. Knowledgeable Academic instructor with solid foundation in biomedical science. Demonstrated expertise in conducting complex laboratory experiments and contributing to research publications. Proven ability to apply critical thinking and analytical skills to solve scientific problems and enhance laboratory processes.

Ghanem, V. G. (2025). Distinguished Member, Editorial Board – International Journal of Medical Science (ICMERD‑IJMS).
Institution: International Council for Medical Education Research and Development (ICMERD)
Summary: Appointed to the editorial board in recognition of scholarly expertise, academic leadership, and service to medical research publication.
Status: Active
Access:
🌐 Editorial Board Listing (ICMERD)
📄 View Membership Certificate

Ghanem, V. G. (2025). Peer Reviewer – Cureus Journal of Medical Science (Springer Nature Publishers).
Institution: Cureus / Springer Nature
Summary: Serves as a peer reviewer responsible for evaluating manuscript quality, assessing methodological rigor, and ensuring scientific integrity across biomedical, clinical, and public health submissions.
Status: Active
Access:
🌐 Reviewer Profile – Cureus
📄 View Peer Review Activity Summary

• AHPC Ghana – Licensed Medical Scientist
• CORU Ireland – Registered Medical Scientist (MS063958)
• GABMLS – Member
• ACSLM – Associate Member

• Supervision & Training: Supervised and trained 30+ interns and junior scientists, delivering structured instruction across hematology, microbiology, biochemistry, and immunology.
• Workshop Facilitation: Designed and facilitated CPD workshops on scientific communication, biosafety, results interpretation, and diagnostic quality.
• Curriculum Development: Created training documents, SOPs, assessment tools, and competency checklists for staff and trainees.
• Academic Support: Experienced in breaking down complex scientific concepts for diverse learners and delivering structured academic-style feedback to support learning progression.

• Data Science: Machine learning modelling (Ridge, XGBoost, SVR) for HIV/AIDS incidence forecasting in Ghana.
• Public Health: Epidemiological trend analysis, disease surveillance interpretation, and statistical analysis.
• Biomedical Science: Undergraduate research on antimicrobial resistance contributing to infection‑control policy.
• Academic Writing: Proficient in literature synthesis, referencing, and peer‑review processes.

• My teaching philosophy centres on clarity, accessibility, and structured learning. I believe students thrive when instruction is well-organised, supportive, and grounded in real-world context. I emphasise evidence-based teaching, active learner engagement, and prompt feedback that guides improvement.
• In an online environment, I prioritise creating an interactive and inclusive space where students feel confident to ask questions, think critically, and connect theory to practical application. My goal is to help each learner build competence, independence, and intellectual curiosity.

Ghanem, V. G. (2025). HIV Prognosis in Sub-Saharan Africa: A Narrative Review of Mortality Trends, Structural Determinants, and Policy Implications. International Journal of Medical and Health Research, 3(2). https://doi.org/10.61424/ijmhr.v3i2.346

Summary: Narrative synthesis of 218 peer‑reviewed studies (2015–2024) analysing HIV‑related mortality trends in Sub‑Saharan Africa, with emphasis on healthcare access, economic inequality, gender norms, and structural determinants. Highlights gaps in behavioural and biomedical predictors and proposes a framework for evidence‑informed policy. 

Status: Published

Ghanem, V. G. (2025). Socio‑Behavioral and Spatial Determinants of HIV/AIDS Incidence in Ghana: An Ecological Cross‑Sectional Study with Explainable Machine Learning. Advances in Infectious Diseases. https://doi.org/10.4236/aid.2025.154050

Summary: Spatial epidemiological analysis integrating socio‑behavioural indicators and geospatial variables to identify HIV determinants using SHAP, XGBoost, and GIS‑based modelling. 

Status: Published

Ghanem, V. G. (2025). Forecasting HIV/AIDS Incidence in Ghana: A Retrospective Observational Study Using Ensemble Machine Learning Models [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-6639193/v1

Summary: Time‑series forecasting of HIV/AIDS incidence using ensemble learners—Random Forest, XGBoost, Gradient Boosting, and Voting Regressors, to support public health planning and future trend prediction. 

Status: Preprint

Ghanem, V. G. (2025). Analysis and Prediction of Infectious Disease Trends in Ghana: A Machine Learning Approach, with Emphasis on HIV/AIDS [Data & Software Repository]. Zenodo. https://doi.org/10.5281/zenodo.156168465616846

Summary: Repository accompanying a predictive epidemiological analysis applying Random Forest, Ridge Regression, XGBoost, and SVR to model HIV/AIDS incidence in Ghana, including datasets, scripts, and model artefacts.
Status: Published
Access:
🌐 Launch Dashboard (Streamlit App)
📂 View Code & Model Files (GitHub)