Nieto-Chaupis, H. Is Drug Delivery System a Deterministic or Probabilistic Approach? A Theoretical Model Based on the Sequence: Electrodynamics–Diffusion–Bayes. Mathematics2023, 11, 4528.
Nieto-Chaupis, H. Is Drug Delivery System a Deterministic or Probabilistic Approach? A Theoretical Model Based on the Sequence: Electrodynamics–Diffusion–Bayes. Mathematics 2023, 11, 4528.
Nieto-Chaupis, H. Is Drug Delivery System a Deterministic or Probabilistic Approach? A Theoretical Model Based on the Sequence: Electrodynamics–Diffusion–Bayes. Mathematics2023, 11, 4528.
Nieto-Chaupis, H. Is Drug Delivery System a Deterministic or Probabilistic Approach? A Theoretical Model Based on the Sequence: Electrodynamics–Diffusion–Bayes. Mathematics 2023, 11, 4528.
Abstract
The paradigm of molecular communications is applied to the concrete case for delivering electrically charged
nanoparticles to tumor. Once them have been injecetd in blood
it is expecetd an optimal outcome as to reduce toxicity and
minimal dispersion of drugs in the blood stream. With a fraction
of nanoparticles arrives to surface of tumor, the scattered part
of injected ones can minimize the success of scheme of drug
delivery. In this paper is presented a theory based at the
sequence electrodynamics-diffusion-Bayes theorem. The resulting
probability of Bayes at the end of sequence, might be telling us
that dynamical processes based in the injection of electrically
charged nanoparticles might be dictated by stochastic formalism
more that biochemical approaches by which makes impossible to
know the success or fail of drug delivery dynamics. Illustrations
demonstrating the transition of a linear to nonlinear scenario are
presented
Keywords
drug delivery; bayes; diffusion equation
Subject
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
