Article
A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms.
Cancer research - 15 Oct 2024
Pareja Fresia, Dopeso Higinio, Wang Yi Kan, Gazzo Andrea M, Brown David N, Banerjee Monami, Selenica Pier, Bernhard Jan H, Derakhshan Fatemeh, da Silva Edaise M, Colon-Cartagena Lorraine, Basili Thais, Marra Antonio, Sue Jillian, Ye Qiqi, Da Cruz Paula Arnaud, Yeni Yildirim Selma, Pei Xin, Safonov Anton, Green Hunter, Gill Kaitlyn Y, Zhu Yingjie, Lee Matthew C H, Godrich Ran A, Casson Adam, Weigelt Britta, Riaz Nadeem, Wen Hannah Y, Brogi Edi, Mandelker Diana L, Hanna Matthew G, Kunz Jeremy D, Rothrock Brandon, Chandarlapaty Sarat, Kanan Christopher, Oakley Joe, Klimstra David S, Fuchs Thomas J, Reis-Filho Jorge S
Abstract excerpt
Artificial intelligence (AI) systems can improve cancer diagnosis, yet their development often relies on subjective histologic features as ground truth for training. Herein, we developed an AI model applied to histologic whole-slide images using CDH1 biallelic mutations, pathognomonic for invasive lobular carcinoma (ILC) in breast neoplasms, as ground truth. The model accurately predicted CDH1 biallelic mutations...
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