On December 6, 2021 Paige, the global leader in AI-based diagnostic software in pathology, reported it will present new data demonstrating the performance of Paige Breast "Beta" in detecting various forms of breast cancer and highlight the accuracy of a new AI-based system that detects invasive lobular carcinoma (ILC), the most frequent subtype of breast cancer (Press release, Paige AI, DEC 6, 2021, View Source [SID1234596512]). The data will be featured during a Spotlight Poster Discussion at the upcoming 2021 San Antonio Breast Cancer Symposium (SABCS 2021), taking place virtually and in-person at the Henry B. Gonzalez Convention Center in San Antonio, Texas from December 7-10, 2021.

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An artificial intelligence-based predictor of CDH1 biallelic mutations and lobular carcinoma
Authors: Jorge S. Reis-Filho, et al.
Session: Spotlight Poster Discussion 11 – The future is now: Innovation in pathology and radiology
Poster #: PD11-01
Date and Time: Thursday, December 9, 2021; 5:00 p.m. – 6:30 p.m. CST
Location: Stars at Night Ballroom 3&4
Subtyping invasive carcinomas and high-risk lesions for Machine-Learning-Based Breast Pathology
Authors: Matthew G. Hanna, et al.
Session: Spotlight Poster Discussion 11 – The future is now: Innovation in pathology and radiology
Poster #: PD11-02
Date and Time: Thursday, December 9, 2021; 5:00 p.m. – 6:30 p.m. CST
Location: Stars at Night Ballroom 3&4
Additionally, Thomas J. Fuchs, Dr.Sc., Chief Scientist and Founder of Paige, will discuss the implications of AI technology in pathology during an educational session titled "Artificial Intelligence: Beyond the Soundbites," moderated by Jorge S. Reis-Filho, M.D., Ph.D., Principal of Biomarker Development at Paige and Chief of Experimental Pathology Service at Memorial Sloan Kettering Cancer Center. Details are below:

Artificial intelligence: Guiding the pathologists’ eyes
Presenter: Thomas J. Fuchs
Session: Educational Sessions
Date and Time: Tuesday, December 7, 2021; 5:00 p.m. – 7:00 p.m. CST
Location: Stars at Night Ballroom 3&4
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