Stochastic Norton–Simon–Massagué Tumor Growth Modeling: Controlled and Mixed-Effect Uncontrolled Analysis-Reference-Cited by-同舟云学术

Stochastic Norton–Simon–Massagué Tumor Growth Modeling: Controlled and Mixed-Effect Uncontrolled Analysis

Author:

Belkhatir Zehor¹^ORCID,Pavon Michele²^ORCID,Mathews James C.¹,Pouryahya Maryam¹,Deasy Joseph O.¹^ORCID,Norton Larry³^ORCID,Tannenbaum Allen R.⁴^ORCID

Affiliation:

1. Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA

2. Department of Mathematics, University of Padova, Padua, Italy

3. Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA

4. Department of Computer Science and the Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA

Funder

AFOSR

National Institutes of Health

MSK Cancer Center Support Grant/Core Grant

Breast Cancer Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

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1. Nonlinear optimal control for the multi-variable tumor-growth dynamics;Computer Methods in Biomechanics and Biomedical Engineering;2024-01-02