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Multimodal Machine Learning for Predicting Outcomes in the PASS-01 Trial of Systemic Therapy for Metastatic Pancreatic Cancer

2026-08-27

Abstract excerpt

<h4>Purpose</h4> Modified FOLFIRINOX (FFX) and gemcitabine plus nab-paclitaxel (GNP) are standard first-line treatments for metastatic pancreatic ductal adenocarcinoma (PDAC), but no validated biomarker guides treatment selection. We developed MULTIPL, a multimodal machine learning system, and established the PASS-01 Challenge to benchmark prognostic and predictive biomarkers. <h4>Patients and Methods</h4> MULTI...

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Literature Corpus work
23644a20-8cdf-52ca-b937-15f37512eb47
DOI
10.64898/2026.08.24.26360900
Open publication

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Multimodal Machine Learning for Predicting Outcomes in the PASS-01 Trial of Systemic Therapy for Metastatic Pancreatic CancerDOI 10.64898/2026.08.24.26360900
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