tugMedi: simulator of cancer-cell evolution for personalized medicine based on the genomic data of patients

Abstract excerpt

<h4>ABSTRACT</h4> Cancer comprehensive genomic profiling tests are increasingly used, but drug response rates remain limited. Simulations forecasting cancer progression could aid targeted therapies; however, existing simulations focus mainly on basic biology. We present tugMedi , a cancer-cell evolution simulator designed for cancer genome medicine. By integrating patient-specific genomic and imaging data, tugMe...

Topics

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• Algorithms
• Genes, Tumor Suppressor
• Leukemia, Myeloid, Acute
• Mutation, Missense
• Mutation Rate
• Oncogenes
• Precision Medicine
• Stochastic Processes

Identifiers and source

Literature Corpus work

b75b98a5-9f05-556d-9ca0-2a3c49c12f8f

DOI

10.1101/2025.06.27.661855