Article

Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms

2024-12-24

Abstract excerpt

<title>Abstract</title> <p>Background and Aims: Early detection of pancreatic cancer (PC) remains challenging largely due to the low population incidence and few known risk factors. However, screening in at-risk populations and detection of early cancer has the potential to significantly alter survival. In this study, we aim to develop a predictive model to identify patients at risk for developing new-onset PC a...

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Literature Corpus work: c9cc6e1d-a678-5b0b-ad15-80ae5bbc0c99
DOI: 10.21203/rs.3.rs-4999645/v1

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