Machine Learning-Based Identification of Blood Biomarkers that Distinguish Precachectic and Cachectic Patients with Pancreatic Ductal Adenocarcinoma
The developed ML models that use blood biomarker data provided effective predictions of patient's cachexia stage that can help clinicians to diagnose PCa.
Authors
- Katarzyna A. Rejniak (ORCID: https://orcid.org/0000-0003-2093-2422)
- Evan W. Davis (ORCID: https://orcid.org/0000-0002-5430-3934)
- Kayode D. Olumoyin (ORCID: https://orcid.org/0000-0003-1569-4351)
- Permuth Jennifer B.
- Magaret Park
Institutions
- University of South Florida (US)
- Moffitt Cancer Center (US)
Publication Details
- Journal
- medRxiv
- Published
- 2025-12-27
- DOI
- https://doi.org/10.64898/2025.12.23.25342866
- Citations
- 1
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- U.S. Department of Defense
- Florida Department of Health
- Moffitt Cancer Center
- National Institutes of Health
- National Cancer Institute