Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy

Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy

Pancreatic ductal adenocarcinoma (PDAC) poses a considerable diagnostic and therapeutic challenge due to the lack of specific biomarkers and late diagnosis. Early detection is crucial for improving prognosis, but current techniques are insufficient. An innovative approach based on differential scann...

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Bibliographic Details
Main Authors: Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advanced Intelligent Systems
Subjects:
biomarkers
diagnoses
machine‐learning algorithms
pancreatic ductal adenocarcinomas (PDACs)
thermal liquid biopsies (TLBs)
Online Access:https://doi.org/10.1002/aisy.202400308
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