Evaluating generative AI's ability to identify cancer subtypes in publicly available structured genetic datasets

Authors

Ethan Hillis, Washington University School of Medicine in St. Louis
Kriti Bhattarai, Washington University School of Medicine in St. Louis
Zachary Abrams, Washington University School of Medicine in St. Louis

Journal

Journal of Personalized Medicine

Publication Date

9-25-2024

Volume

14

Issue

10

First Page

1022

Document Type

Open Access Publication

DOI

10.3390/jpm14101022

Rights and Permissions

Hillis E, Bhattarai K, Abrams Z. Evaluating Generative AI's Ability to Identify Cancer Subtypes in Publicly Available Structured Genetic Datasets. J Pers Med. 2024 Sep 25;14(10):1022. doi: 10.3390/jpm14101022 Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Recommended Citation

Hillis, Ethan; Bhattarai, Kriti; and Abrams, Zachary, "Evaluating generative AI's ability to identify cancer subtypes in publicly available structured genetic datasets." Journal of Personalized Medicine. 14, 10. 1022 (2024).
https://digitalcommons.wustl.edu/oa_4/4338

Additional Links

Supplemental material is available for this article at publisher site.