New AI tool predicts best pancreatic cancer treatment

A new tool co-developed by investigators from Cedars-Sinai Health Sciences University can predict which of two available chemotherapy options for pancreatic cancer would be more effective for an individual patient.

If validated in further studies, the artificial intelligence-based platform could be used to improve treatment selection in virtually any cancer type. Results from a study of the platform’s effectiveness are published in the Journal of Clinical Oncology.

“Currently, we have no conclusive data to show which of the two approved chemotherapy regimens for patients with advanced pancreatic cancer is more effective,” said Andrew Hendifar, MD, medical director of Pancreatic Cancer at Cedars-Sinai Cancer and first author of the study. “So we start with one, do our best to quickly gauge the patient’s response, and switch if needed.”

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