<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><volume>2021</volume><submitter>Lucian Smith</submitter><journal>AIP Conference Proceedings</journal><species>Homo sapiens</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL1911280003</full_dataset_link><repository>biostudies-other</repository><additional_accession>10.1063/1.5062816</additional_accession><pubmed_authors>Lucian Smith</pubmed_authors><pubmed_authors>Johannes Meyer</pubmed_authors></additional><is_claimable>false</is_claimable><name>Trisilowati2018 - Optimal control of tumor-immune system interaction with treatment</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 mathematical model of a growing tumor and its interaction with the immune system. The model consists of four populations: tumor cells, dendritic cells (representing the innate immune system), cytotoxic T cells, and helper T cells (as the specific immune system). The model is comprised of a system of ordinary differential equations.&lt;/pre>      &lt;/body>    &lt;/notes></description><dates><release>2019-11-28T00:00:00Z</release><modification>2025-07-15T09:48:45.272Z</modification><creation>2025-03-29T22:00:25.531Z</creation></dates><accession>MODEL1911280003</accession><cross_references><biomodels___db>BIOMD0000000880</biomodels___db><ncit>C28976</ncit><ncit>C94498</ncit><ncit>NCIT:C9305</ncit><ncit>NCIT:C40846</ncit><ncit>C36294</ncit><ncit>C18081</ncit><ncit>C15632</ncit><mamo>MAMO_0000046</mamo><go>GO:0006955</go><go>GO:0008219</go><go>GO:0002419</go><go>GO:0046649</go><cl>CL:0000451</cl><cl>CL:0000912</cl><cl>CL:0001063</cl><taxonomy>9606</taxonomy><cco>CCO:0000910</cco><doi>10.1063/1.5062816</doi></cross_references></HashMap>