2016
DOI: 10.1016/j.ifacol.2016.12.138
|View full text |Cite
|
Sign up to set email alerts
|

A supplemental treatment for chemotherapy: Control simulation using a mathematical model with estimated parameters based on in vivo experiment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
1
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 18 publications
1
1
0
Order By: Relevance
“…Longer minimal life span and significant inhibition of tumor growth during 15 days after solid tumor formation indicate that deuterium depletion somehow prevented rapid tumor growth at initial stage. It corresponds with data of S. Paryad-zanjani et al, that DDW consumption decreases melanoma F10 growth rate in C57Bl/6 mice within 30 days after grafting [14]. Our data demonstrate that antitumor effect of deuterium depletion gradually reduces after 25 th day since tumor inoculation.…”
Section: Discussionsupporting
confidence: 92%
“…Longer minimal life span and significant inhibition of tumor growth during 15 days after solid tumor formation indicate that deuterium depletion somehow prevented rapid tumor growth at initial stage. It corresponds with data of S. Paryad-zanjani et al, that DDW consumption decreases melanoma F10 growth rate in C57Bl/6 mice within 30 days after grafting [14]. Our data demonstrate that antitumor effect of deuterium depletion gradually reduces after 25 th day since tumor inoculation.…”
Section: Discussionsupporting
confidence: 92%
“…Hadjiandreou and Mitsis (2013) formulated body weight and side effect index in the cost function for their optimization model so they could minimize toxicity in cancer treatment. Paryad-Zanjani et al (2016) used maximum tolerated dose and drug toxicity in the optimal control problem in order to avoid toxicity and side effects in the cancer patients.…”
Section: Review Of Optimal Drug Schedulingmentioning
confidence: 99%