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Pancreatic cancer is currently the third leading cause of cancer-related death, and carries a grim prognosis with 5-year survival of only 8% (1). Despite extensive research there has been minimal improvement in the survival of these patients, with an estimate that this cancer will become the second leading cause of cancer related death by 2030 (2).

Can computational modeling help in personalizing the care of patients with pancreatic ductal adenocarcinoma?