Article

Optimized patient-specific immune checkpoint inhibitors therapy for cancer treatment based on tumor immune microenvironment modeling

2024-04-10

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Enhancing patient response to immune checkpoint inhibitors (ICIs) is crucial in cancer immunotherapy. We aim to create a data-driven mathematical model of the tumor immune microenvironment (TIME) and utilize deep reinforcement learning (DRL) to optimize patient-specific ICI therapy combined with chemotherapy (ICC). <h4>Methods</h4> Using patients’ genomic and transcriptomic dat...

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Literature Corpus work: ca27fc5d-e024-5023-b553-e712d91d99c9
DOI: 10.1101/2024.04.08.24305526

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