Search Results for author: Heyrim Cho

Found 4 papers, 0 papers with code

Designing experimental conditions to use the Lotka-Volterra model to infer tumor cell line interaction types

no code implementations17 Sep 2022 Heyrim Cho, Allison L. Lewis, Kathleen M. Storey, Helen M. Byrne

Structural identifiability of the Lotka-Volterra model is confirmed, and practical identifiability is assessed for three experimental designs: (a) use of a single data set, with a mixture of both cell lines observed over time, (b) a sequential design where growth rates and carrying capacities are estimated using data from experiments in which each cell line is grown in isolation, and then interaction parameters are estimated from an experiment involving a mixture of both cell lines, and (c) a parallel experimental design where all model parameters are fitted to data from two mixtures simultaneously.

Experimental Design

Modeling interaction of Glioma cells and CAR T-cells considering multiple CAR T-cells bindings

no code implementations18 Jan 2022 Runpeng Li, Prativa Sahoo, Dongrui Wang, Qixuan Wang, Christine E. Brown, Russell C. Rockne, Heyrim Cho

Chimeric antigen receptor (CAR) T-cell based immunotherapy has shown its potential in treating blood cancers, and its application to solid tumors is currently being extensively investigated.

Utilizing gradient approximations to optimize data selection protocols for tumor growth model calibration

no code implementations25 Dec 2021 Allison L. Lewis, Kathleen M. Storey, Heyrim Cho, Anna C. Zittle

Unlike the error analysis of the previous study, the inclusion of uncertainty analysis in this work|as a means for deciding when the algorithm can be terminated|provides a more realistic option for clinical decision-making, since it does not rely on data that will be collected later in time.

Decision Making

Study of dose-dependent combination immunotherapy using engineered T cells and IL-2 in cervical cancer

no code implementations28 Jan 2020 Heyrim Cho, Zuping Wang, Doron Levy

Adoptive T cell based immunotherapy is gaining significant traction in cancer treatment.

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