<p>For each class, this table shows the values of <i>n</i> for which the means of sensitive, resistant, and total cancer cells, as well as probability of resistance, are each minimized. For each column, the bottom row indicates which of the three classes produces the best overall result for that characteristic of the cancer cell population at the end of treatment.</p
This paper presents a multi-drug chemotherapy scheduling method for cancer treatment using multi-obj...
<p>(A) Time evolution of cancer and T cell populations. Vaccinations are delivered on days 233, 243,...
Predicting patient responses to chemotherapy regimens is a major challenge in cancer treatment. Expe...
<p>In column (A), the color at each point represents the value of <i>c</i><sub>1</sub> that correspo...
<p>In column (A), the color at each point represents the value of <i>c</i><sub>1</sub> that correspo...
<p>In column (A), the color at each point represents the value of <i>c</i><sub>1</sub> that correspo...
<p>(A) We show the probability of resistance, <i>P</i>, over the range of treatment schedules specif...
An optimal parameter selection model of cancer chemotherapy is presented which describes the treatme...
Recent clinical trials have shown that for some cancers, high-intensity alternating chemotherapy doe...
<p>Here we consider <i>β</i> = 10<sup>−10</sup>. (A)–(C): (A) The area under the curve (AUC) of the ...
We review mathematical results about the qualitative structure of chemotherapy protocols that were o...
<p>Means of the sensitive cells (), resistant cells (), and total tumor size (), as well as the prob...
Cancer chemotherapy for the case of one drug is studied. The negative and inhibiting effect of the t...
<p>Subfigure (A) shows the dosing schedule specified by the growth rate of sensitive cancer cells as...
A system of differential equations for the control of tumour cell growth in a cyclenonspecific chemo...
This paper presents a multi-drug chemotherapy scheduling method for cancer treatment using multi-obj...
<p>(A) Time evolution of cancer and T cell populations. Vaccinations are delivered on days 233, 243,...
Predicting patient responses to chemotherapy regimens is a major challenge in cancer treatment. Expe...
<p>In column (A), the color at each point represents the value of <i>c</i><sub>1</sub> that correspo...
<p>In column (A), the color at each point represents the value of <i>c</i><sub>1</sub> that correspo...
<p>In column (A), the color at each point represents the value of <i>c</i><sub>1</sub> that correspo...
<p>(A) We show the probability of resistance, <i>P</i>, over the range of treatment schedules specif...
An optimal parameter selection model of cancer chemotherapy is presented which describes the treatme...
Recent clinical trials have shown that for some cancers, high-intensity alternating chemotherapy doe...
<p>Here we consider <i>β</i> = 10<sup>−10</sup>. (A)–(C): (A) The area under the curve (AUC) of the ...
We review mathematical results about the qualitative structure of chemotherapy protocols that were o...
<p>Means of the sensitive cells (), resistant cells (), and total tumor size (), as well as the prob...
Cancer chemotherapy for the case of one drug is studied. The negative and inhibiting effect of the t...
<p>Subfigure (A) shows the dosing schedule specified by the growth rate of sensitive cancer cells as...
A system of differential equations for the control of tumour cell growth in a cyclenonspecific chemo...
This paper presents a multi-drug chemotherapy scheduling method for cancer treatment using multi-obj...
<p>(A) Time evolution of cancer and T cell populations. Vaccinations are delivered on days 233, 243,...
Predicting patient responses to chemotherapy regimens is a major challenge in cancer treatment. Expe...