<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><volume>18</volume><submitter>Lucian Smith</submitter><journal>Journal of Biological Systems</journal><pagination>75-91</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL1908040001</full_dataset_link><repository>biostudies-other</repository><additional_accession>10.1142/S0218339010003226</additional_accession><pubmed_authors>Tung Nguyen</pubmed_authors><pubmed_authors>Lucian Smith</pubmed_authors><pubmed_authors>Johannes Meyer</pubmed_authors></additional><is_claimable>false</is_claimable><name>Chakrabarty2010 - A control theory approach to cancer remission aided by an optimal therapy</name><description>&lt;notes xmlns="http://www.sbml.org/sbml/level2/version4">      &lt;body xmlns="http://www.w3.org/1999/xhtml">        &lt;pre>This is a reinvestigation of a previous model depicting cancer remission. It involves application of mathematical tools from control theory to assess the optimal approach during the use of Adaptive Cellular Immunotherapy and interleukin-2 treatment.&lt;/pre>      &lt;/body>    &lt;/notes></description><dates><release>2019-08-04T00:00:00Z</release><modification>2025-07-15T09:52:20.328Z</modification><creation>2025-03-29T21:00:52.247Z</creation></dates><accession>MODEL1908040001</accession><cross_references><biomodels___db>BIOMD0000000777</biomodels___db><pubmed>18083299</pubmed><ncit>C94498</ncit><ncit>C15351</ncit><ncit>C12922</ncit><ncit>C18246</ncit><ncit>C15543</ncit><ncit>C18081</ncit><mamo>MAMO_0000046</mamo><go>GO:0008219</go><go>GO:0072683</go><go>GO:0001906</go><cl>CL:0000912</cl><cl>CL:0000910</cl><doi>10.1142/S0218339010003226</doi></cross_references></HashMap>