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Pharmacokinetics and Pharmacodynamics Models of Tumor Growth and Anticancer Effects in Discrete Time
- Source :
- Computational and Mathematical Biophysics, Vol 8, Iss 1, Pp 114-125 (2020)
- Publication Year :
- 2020
- Publisher :
- Walter de Gruyter GmbH, 2020.
-
Abstract
- We study the h-discrete and h-discrete fractional representation of a pharmacokinetics-pharmacodynamics (PK-PD) model describing tumor growth and anticancer effects in continuous time considering a time scale h𝕅0, where h > 0. Since the measurements of the drug concentration in plasma were taken hourly, we consider h = 1/24 and obtain the model in discrete time (i.e. hourly). We then continue with fractionalizing the h-discrete nabla operator in the h-discrete model to obtain the model as a system of nabla h-fractional difference equations. In order to solve the fractional h-discrete system analytically we state and prove some theorems in the theory of discrete fractional calculus. After estimating and getting confidence intervals of the model parameters, we compare residual squared sum values of the models in one table. Our study shows that the new introduced models provide fitting as good as the existing models in continuous time.
- Subjects :
- 65c05
Physics
QC1-999
Applied Mathematics
Biophysics
data fitting
39a12
Pharmacology
discrete fractional calculus
34a25
Computational Mathematics
parameter estimations
Pharmacokinetics
Discrete time and continuous time
62g05
65c20
Tumor growth
26a33
Molecular Biology
TP248.13-248.65
Mathematical Physics
Biotechnology
Mathematics
Subjects
Details
- ISSN :
- 25447297
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Biophysics
- Accession number :
- edsair.doi.dedup.....7a5cc02964e62eafe6a5b693fe40802d
- Full Text :
- https://doi.org/10.1515/cmb-2020-0105