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Pancreatic Ductal Adenocarcinoma (PDAC) is regarded as one of the most lethal cancer typesfor its challenges associated with early diagnosis and resistance to standard chemotherapeutic agents,thereby leading to a poor five-year survival rate. The complexity of the disease calls for a multidisciplinaryapproach to better manage the disease and improve the status quo in PDAC diagnosis, prognosis,and treatment. To this end, the application of quantitative tools can help improve the understanding ofdisease mechanisms, develop biomarkers for early diagnosis, and design patient-specific treatment strategiesto improve therapeutic outcomes. However, such approaches have only been minimally applied towardsthe investigation of PDAC, and we review the current status of mathematical modeling works inthis field.more » « less
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