Dennis Baidoo

Research

Papers and preprints

Published articles, preprints, work in progress, and collaborative work. A current list is on Google Scholar.

Published
  1. Multi-dimensional structure and subtype-specific heterogeneity of angiogenesis in breast cancer
    Baidoo, D.
    PublishedPLOS One, 21(10), e0348390, 2026 doi.org/10.1371/journal.pone.0348390Metrics
Preprints
  1. Adaptive Weighting for Time-to-Event Continual Reassessment Method: Improving Safety in Phase I Dose-Finding Through Data-Driven Delay Distribution Estimation
    Amevor, R., Kubuafor, E., Baidoo, D.
    Preprint2026 arXiv:2602.19012
  2. Time-Varying Hazard Patterns and Co-Mutation Profiles of KRAS G12C and G12D in Real-World NSCLC
    Amevor, R., Baidoo, D., Kubuafor, E.
    Preprint2026 arXiv:2602.19295
  3. Latent spatial heterogeneity in U.S. cancer mortality: A multi-site clustering and spatial autocorrelation analysis
    Kubuafor, E., Baidoo, D., Amevor, R., et al
    PreprintSubmitted to MedLIFE 2025 Proceedings (Springer Nature ASTI Book Series), 2025 arXiv:2508.12188
  4. Bayesian Hierarchical Methods for Surveillance of Cervical Dystonia Treatments
    Baidoo, D., Amevor, R., Kubuafor, E., et al
    PreprintSubmitted to MedLIFE 2025 Proceedings (Springer Nature ASTI Book Series), 2025 arXiv:2508.15762
  5. Integrative Prognostic Modeling of Breast Cancer Survival with Gene Expression and Clinical Data
    Amevor, R., Baidoo, D., Kubuafor, E., et al
    Preprint2025 arXiv:2508.16740
  6. Comparing Malaria Trends in the Comoros Islands: ARIMA Modeling and Retrospective Analysis
    Baidoo, D., Aboagye, F., Okeke, O. J., et al
    Preprint2025 arXiv:2508.16018
  7. Evaluation of Time Series Forecasting Models for Predicting Lung Cancer Mortality Rates in the United States: A Comparison with Altuhaifa's (2023) Study
    Kubuafor, E., Baidoo, D., Amevor, R., et al
    PreprintSubmitted to MedLIFE 2024 Proceedings (Springer Nature ASTI Book Series), 2024 arXiv:2508.16052
In progress
  1. From Data to Policy: Quantitative Insights on the Mortality Burden of Student Suicide in New Mexico
    Baidoo, D. & McIver, S.
    In progress2025
  2. Elucidating Community-Level Determinants of Adolescent Obesity in New Mexico: An Artificial Intelligence Approach Using Bayesian Belief Networks
    Baidoo, D., Okeke, O. J., Amevor, R., et al
    In progressSubmitted to EMCEI 2024 Proceedings (Springer Nature ASTI Book Series), 2024
Collaborative Work
  1. Assessing the Influence of Locational Suitability on the Spatial Distribution of Household Wealth in Bernalillo County, NM
    Okeke, O. J., Nelson, U. E., Nwaogu, C., Oladoyin, O. O., Kubuafor, E., Baidoo, D., Akinyemi, T., Ajeyomi, A. S., Idris, R. A., Fabunmi, I. A.
    Preprint2025 arXiv:2510.11048
  2. Modelling Land Suitability for Optimal Rice Cultivation in Ebonyi State, Nigeria: A Comparative Study of Empirical Bayesian Kriging and Inverse Distance Weighted Geostatistical Models
    Okeke, O. J., Baidoo, D., Frimpong, J.A., et al
    Published2023 ResearchGate
  3. Algoverse AI Research Fellowship

    I am an AI Research Fellow with the Algoverse AI Research Program, which supports early-career researchers in machine learning, optimization, and computational science.

    My work focuses on optimization techniques for large-scale machine learning systems and on AI applications in public health and epidemiological modeling.