A study of qualitative correlations between crucial bio-markers and the optimal drug regimen of Type I lepra reaction: a deterministic approach
DOI10.1515/cmb-2023-0117arXiv2306.01427OpenAlexW4391860310MaRDI QIDQ6118933
D. K. K. Vamsi, Dinesh Nayak, Anamalamudi Vilvanathan Sangeetha
Publication date: 21 March 2024
Published in: Computational and Mathematical Biophysics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2306.01427
optimal drug regimenbio-markersHansen's diseasemultidrug therapyNewton's gradient methodType I lepra reaction
Medical applications (general) (92C50) Existence theories for optimal control problems involving ordinary differential equations (49J15)
Cites Work
- Mathematical modelling of immune response in tissues
- Convergence of the forward-backward sweep method in optimal control
- On the existence of optimal controls for nonlinear systems
- Function-space quasi-Newton algorithms for optimal control problems with bounded controls and singular arcs
- The role of CD200-CD200R in tumor immune evasion
- A comprehensive and detailed within-host modeling study involving crucial biomarkers and optimal drug regimen for type I lepra reaction: a deterministic approach
- Critical observation of WHO recommended multidrug therapy on the disease leprosy through mathematical study
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