Pancreatic Cancer Detection and Differentiation from Chronic Pancreatitis: Potential Biomarkers Identified through a High-Throughput Multiplex Proteomic Assay and Machine Learning-Based Analysis

Promising blood biomarkers for PC diagnosis and differential diagnosis of CP were identified using a PEA platform and ML techniques.

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Institutions

Publication Details

Journal
Annals of Laboratory Medicine
Published
2025-04-02
DOI
https://doi.org/10.3343/alm.2024.0492
Citations
2
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
2.09

Funders

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article

Pancreatic Cancer Detection and Differentiation from Chronic Pancreatitis: Potential Biomarkers Identified through a High-Throughput Multiplex Proteomic Assay and Machine Learning-Based Analysis

Soo‐Youn Lee, Sangmi Kim, Young‐Gon Kim
2 citations
Annals of Laboratory Medicine
Pancreatic and Hepatic Oncology Research
2.09
article

Pancreatic Cancer Detection and Differentiation from Chronic Pancreatitis: Potential Biomarkers Identified through a High-Throughput Multiplex Proteomic Assay and Machine Learning-Based Analysis

Soo‐Youn Lee, Sangmi Kim, Young‐Gon Kim
article en
2 citations

Abstract

Promising blood biomarkers for PC diagnosis and differential diagnosis of CP were identified using a PEA platform and ML techniques.

Annals of Laboratory MedicineVol. 45(4)
Samsung Medical Center (KR), Chosun University Hospital (KR), Sungkyunkwan University (KR)
National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Good health and well-being
Openalex Percentile: Top 13%
Pancreatic and Hepatic Oncology Research
2.09
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