Mutational signatures for breast cancer diagnosis using artificial intelligence

Mutational signatures for breast cancer diagnosis using artificial intelligence

Abstract Background Breast cancer is the most common female cancer worldwide. Its diagnosis and prognosis remain scanty, imprecise, and poorly documented. Previous studies have indicated that some genetic mutational signatures are suspected to lead to progression of various breast cancer scenarios....

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Bibliographic Details
Main Authors: Patrick Odhiambo, Harrison Okello, Annette Wakaanya, Clabe Wekesa, Patrick Okoth
Format: Article
Language:English
Published: SpringerOpen 2023-05-01
Series:Journal of the Egyptian National Cancer Institute
Subjects:
Breast cancer
Somatic mutations
Early diagnosis
Machine learning
Artificial intelligence
Online Access:https://doi.org/10.1186/s43046-023-00173-4

Internet

https://doi.org/10.1186/s43046-023-00173-4

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