Trachette L. Jackson

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Jain HV, Norton KA, Prado BB, et al. (2022) SMoRe ParS: A novel methodology for bridging modeling modalities and experimental data applied to 3D vascular tumor growth. Frontiers in Molecular Biosciences. 9: 1056461
Nazari F, Oklejas AE, Nör JE, et al. (2020) In silico models accurately predict in vivo response for IL-6 blockade in head and neck cancer. Cancer Research
Yu A, Koenigsknecht MJ, Hens B, et al. (2019) Mechanistic Deconvolution of Oral Absorption Model with Dynamic Gastrointestinal Fluid to Predict Regional Rate and Extent of GI Drug Dissolution. The Aaps Journal. 22: 3
Nazari F, Pearson AT, Nör JE, et al. (2018) A mathematical model for IL-6-mediated, stem cell driven tumor growth and targeted treatment. Plos Computational Biology. 14: e1005920
Nazari F, Oklejas AE, Nör JE, et al. (2018) Abstract 925: In silico models accurately predict in vivo response for IL-6 blockade in head and neck cancer Cancer Research. 78: 925-925
Pearson AT, Ingram P, Bai S, et al. (2017) Sampling from single-cell observations to predict tumor cell growth in-vitro and in-vivo. Oncotarget. 8: 111176-111189
Farhat A, Jiang D, Cui D, et al. (2017) An Integrative Model of Prostate Cancer Interaction with the Bone Microenvironment. Mathematical Biosciences
Jain H, Jackson T. (2017) Mathematical Modeling of Cellular Cross-Talk Between Endothelial and Tumor Cells Highlights Counterintuitive Effects of VEGF-Targeted Therapies. Bulletin of Mathematical Biology
Pearson AT, Jackson TL, Nör JE. (2016) Modeling head and neck cancer stem cell-mediated tumorigenesis. Cellular and Molecular Life Sciences : Cmls
Pearson AT, Finkel KA, Warner KA, et al. (2016) Patient-derived xenograft (PDX) tumors increase growth rate with time. Oncotarget