On December 7, 2020 Paige, a global leader in AI-based digital diagnostics, reported that it will present new data evaluating Paige Breast Alpha, a machine learning system designed to detect breast cancer in digital images of breast tissue, at the upcoming 2020 San Antonio Breast Cancer Symposium (SABCS 2020), taking place virtually December 8-11, 2020 (Press release, Paige AI, DEC 7, 2020, View Source [SID1234572360]).

Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:

Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing

                  Schedule Your 30 min Free Demo!

For pathologists reviewing breast tissue slides under the microscope, the large volume of slides can pose significant challenges for workload management and pathologist productivity. The poster, "Clinical-grade detection of breast cancer in biopsies and excisions using machine learning," will be featured during a spotlight poster discussion, which highlights some of the most noteworthy and groundbreaking research submitted to the conference.

The poster abstract is available online and viewing details are below:

Clinical-grade detection of breast cancer in biopsies and excisions using machine learning
Authors: Hanna MG, et al.
Session: Spotlight Poster Discussion 6 | Thursday, December 10, 2020 | 3:30pm – 4:45pm CST
Poster #: PD6-03