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Machine Learning-Based Identification of Blood Biomarkers that Distinguish Precachectic and Cachectic Patients with Pancreatic Ductal Adenocarcinoma
2025-12-27
health informatics
Title + abstract only
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BackgroundIdentification of minimally invasive biomarkers of different stages of cachexia (Ca), and precachexia (PCa) in particular, might help clinicians in treating patients with pancreatic ductal adenocarcinoma (PDAC) at high risk of progressing to a more severe cachectic stage. In this work, we developed a machine-learning (ML) model optimized to blood biomarkers data that identifies precachectic and cachectic patients. MethodsBlood and clinical data was collected from treatment-naive patie...
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