Kyle Cuongthe Nguyen

College of Sciences

Works (5)

Updated: January 23rd, 2026 07:54

2025 article

Mathematical modeling of multicellular tumor spheroids quantifies inter-patient and intra-tumor heterogeneity

Malik, A. A., Nguyen, K. C., Nardini, J. T., Krona, C. C., Flores, K. B., & Nelander, S. (2025, February 15). Npj Systems Biology and Applications.

By: A. Malik *, K. Nguyen n, J. Nardini*, C. Krona *, K. Flores n & S. Nelander *

MeSH headings : Patient-Specific Modeling; Humans; Spheroids, Cellular / physiology; Tumor Cells, Cultured / physiology; Glioblastoma; Brain Neoplasms; Cell Proliferation; Cell Movement
topics (OpenAlex): Mathematical Biology Tumor Growth; Cancer Cells and Metastasis; Cancer Genomics and Diagnostics
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Source: Web Of Science
Added: February 24, 2025

2025 article

Topologically-based parameter inference for agent-based model selection from spatiotemporal cellular data

Wenzel, A. R., Haughey, P. M., Nguyen, K. C., Nardini, J. T., Haugh, J. M., & Flores, K. B. (2025, June 15). BioRxiv (Cold Spring Harbor Laboratory), Vol. 6.

By: A. Wenzel n, P. Haughey n, K. Nguyen n, J. Nardini*, J. Haugh n  & K. Flores n

topics (OpenAlex): Topological and Geometric Data Analysis; Gene Regulatory Network Analysis; Cell Image Analysis Techniques
Sources: NC State University Libraries, NC State University Libraries
Added: January 13, 2026

2024 article

Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling

Nguyen, K. C., Jameson, C. D., Baldwin, S. A., Nardini, J. T., Smith, R. C., Haugh, J. M., & Flores, K. B. (2024, February 17). Mathematical Biosciences, Vol. 370.

By: K. Nguyen n, C. Jameson *, S. Baldwin  n, J. Nardini*, R. Smith n , J. Haugh n , K. Flores n

author keywords: Topological data analysis; Agent-based Modeling; Deep learning; Approximate Bayesian Computation; Cell migration
MeSH headings : Bayes Theorem; Movement; Systems Analysis; Cell Movement
topics (OpenAlex): Topological and Geometric Data Analysis; Cell Image Analysis Techniques; Morphological variations and asymmetry
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Sources: Web Of Science, NC State University Libraries
Added: April 22, 2024

2023 article

Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data

Nguyen, K., Rutter, E. M., & Flores, K. B. (2023, June 3). Bulletin of Mathematical Biology.

By: K. Nguyen n, E. Rutter* & K. Flores n

author keywords: Glioblastoma multiforme; Random differential equation; Parameter estimation; k-Means clustering
MeSH headings : Humans; Mathematical Concepts; Models, Biological; Brain Neoplasms; Glioblastoma
topics (OpenAlex): Statistical Methods and Inference; Field-Flow Fractionation Techniques; Diffusion Coefficients in Liquids
TL;DR: This work uses Prokhorov metric framework and converts the reaction-diffusion model to a random differential equation model to estimate joint distributions of diffusion and growth rates among heterogeneous subpopulations and finds that therandom differential equation is more capable at predicting the cell density compared to other models while being more time efficient. (via Semantic Scholar)
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Source: Web Of Science
Added: June 19, 2023

2023 article

Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding

Nguyen, K., Li, K., Flores, K., Tomaras, G. D., Dennison, S. M., & McCarthy, J. M. (2023, August 6). Analytical Biochemistry.

By: K. Nguyen n, K. Li *, K. Flores n, G. Tomaras *, S. Dennison* & J. McCarthy *

author keywords: Bivalent analyte; Binding kinetics; Parameter identifiability; Surface plasmon resonance
MeSH headings : Likelihood Functions; Antigen-Antibody Reactions; Antigens; Antibodies, Monoclonal / chemistry; Surface Plasmon Resonance / methods; Kinetics
topics (OpenAlex): Monoclonal and Polyclonal Antibodies Research; Protein purification and stability; Advanced Biosensing Techniques and Applications
TL;DR: A pipeline for analysis of bivalent analyte binding kinetics that allows for the use of high-throughput, non-regenerative experimental designs, optimizes using several sets of initial parameter values to ensure that the algorithm is able to reach the lowest minimum error and applies a profile likelihood method to explore parameter identifiability. (via Semantic Scholar)
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Source: Web Of Science
Added: November 13, 2023

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