Submitted
Mohammad Mirzaei, N., and Yang, W. (2025). Hormonal Regulation of Breast Cancer Incidence Dynamics: A Mathematical Analysis Explaining the Clemmesen’s Hook. (Preprint)
Moscoso, A., Mohammad Mirzaei, N., and Shahriyari, L. (2025). Analysis of the Ovarian Cancer Immune Cell Profile Identifies Immunosuppressive Cell States Associated with Adverse Clinical Attributes and Survival Outcomes. Submitted.
Mohammad Mirzaei, N., and Yang, W. (2025). Estimating the Carcinogenesis Timelines in Early-onset Versus Late-onset Cancers and Changes across Birth Cohorts. Submitted. (Preprint )
Peer-reviewed journal articles
Mohammad Mirzaei, N., Hur, C., Terry, M. B., Dalerba, P., & Yang, W. (2025). Modeling Early-Onset Cancer Kinetics Reveals Changes in Underlying Risk and the Impact of Population Screening. Cancer Research. (Link ) and (Preprint )
Mohammad Mirzaei, N., Kevrekidis, P. G., & Shahriyari, L. (2024). Oxygen, Angiogenesis, Cancer, and Immune Interplay in Breast Tumour Microenvironment: a Computational Investigation. Royal Society Open Science. (Link)
Mukherjee A., Mohammad Mirzaei N., & Fok P. W., Genesis of Intimal Thickening Due to Hemodynamical Shear Stresses. (2024) Mathematical Medicine and Biology: A Journal of the IMA. (Link )
Mohammad Mirzaei N., & Shahriyari, L. (2024). Modeling Cancer Progression: An Integrated Workflow Extending Data-Driven Kinetic Models to Bio-Mechanical PDE Models. Physical Biology. (Link)
Mohammad Mirzaei N., Hao, W., & Shahriyari, L. (2023). Investigating the Spatial Interaction of Immune Cells in Colon Cancer. Iscience. (Link)
Hu Y, Mohammad Mirzaei N, Shahriyari L. (2022). Bio-Mechanical Model of Osteosarcoma Tumor Microenvironment: A Porous Media Approach. Cancers. (Link)
Sofia, D., Mohammad Mirzaei N., Shahriyari, L. (2022). Patient-Specific Mathematical Model of Clear Cell Renal Cell Carcinoma Microenvironment. Journal of Personalized Medicine. (Link)
A Stahlberg, E., Abdel-Rahman, M. H., Aguilar B. , Asadpoure, A., ..., Mohammad Mirzaei, N., ... & Zervantonakis, I. (2022). Exploring Approaches for Predictive Cancer Patient Digital Twins: Opportunities for Collaboration and Innovation. Frontiers in Digital Health. (Link)
Mohammad Mirzaei, N., Tatarova, Z., Hao, W., Changizi, N., Asadpoure, A., Zervantonakis, I. K., ... & Shahriyari, L. (2022). A PDE Model of Breast Tumor Progression in MMTV-PyMT Mice. Journal of Personalized Medicine. (Link)
Mohammad Mirzaei, N., Changizi, N., Asadpoure, A., Su, S., Sofia, D., Tatarova, Z., ... & Shahriyari, L. (2022). Investigating Key Cell Types and Molecules Dynamics in PyMT Mice Model of Breast Cancer through a Mathematical Model. PLoS computational biology. (Link)
Mohammad Mirzaei, N., Su, S., Sofia, D., Hegarty, M., Abdel-Rahman, M. H., Asadpoure, A., ... & Shahriyari, L. (2021). A Mathematical Model of Breast Tumor Progression Based on Immune Infiltration. Journal of Personalized Medicine. (Link)
Mohammad Mirzaei, N., & Fok, P. W. (2021). Simple Model of Atherosclerosis in Cylindrical Arteries: Impact of Anisotropic Growth on Glagov Remodeling. Mathematical Medicine and Biology: a Journal of the IMA. (Link)
Mohammad Mirzaei, N., Weintraub, W. S., & Fok, P. W. (2020). An Integrated Approach to Simulating the Vulnerable Atherosclerotic Plaque. American Journal of Physiology-Heart and Circulatory Physiology. (Link)
Book Chapters
Fok, P. W., & Mirzaei, N. M. (2021). Modeling the Glagov's Compensatory Enlargement of Human Coronary Atherosclerotic Plaque. In Biomechanics of Coronary Atherosclerotic Plaque (pp. 107-130). Academic Press. (Link)
Conference Publications
Mohammad Mirzaei, N., & Fok, P. W. (2019). Thickened Intimas and High Densities of Macrophages are Required for Necrosis in Arterial Sections: Towards a General Computational Framework. Circulation. (Link)
Mirzaei, N. M., & Fok, P. W. (2019). Three Dimensional Finite Element Simulation of Atherosclerosis via Morphoelasticity. Molecular & Cellular Biomechanics. (Link)
Mohammad Mirzaei, N., & Fok, P. W. (2019). Mechanical and Biochemical Simulations of Atherosclerosis. In APS March Meeting Abstracts (Vol. 2019, pp. E66-011). (Link)