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Using Open-Source Large Language Models to Identify Access to Germline Genetic Testing in Veterans With Breast Cancer From Unstructured Text.

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Bibliographic Details
Title: Using Open-Source Large Language Models to Identify Access to Germline Genetic Testing in Veterans With Breast Cancer From Unstructured Text.
Authors: Li, Chunyang1,2 (AUTHOR) Catherine.li@utah.edu, Stringer, Michael2 (AUTHOR), Patil, Vikas1,2 (AUTHOR), Mcshinsky, Richard1,2 (AUTHOR), Morreall, Deborah1,2 (AUTHOR), Yong, Christina1,2 (AUTHOR), Rasmussen, Kelli M.1,2 (AUTHOR), Burningham, Zachary1,2 (AUTHOR), Tamang, Suzanne3,4 (AUTHOR), Menendez, Carolyn S.5,6,7 (AUTHOR), Chiba, Akiko5,6,7 (AUTHOR), Moss, Haley A.5,6,7 (AUTHOR), Colonna, Sarah1,2,7,8 (AUTHOR), Rowe, Kerry7 (AUTHOR), Friedman, Daphne5,6,7 (AUTHOR), Kelley, Michael J.5,6,7 (AUTHOR), Halwani, Ahmad1,2,7,8 (AUTHOR)
Source: JCO Clinical Cancer Informatics. 7/22/2025, Vol. 9, p1-10. 10p.
Database: Academic Search Ultimate
Description
ISSN:24734276
DOI:10.1200/CCI-24-00263