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Boulos Beshai

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Articles

Computational pathology features of immune architecture predict clinically relevant outcomes in small-cell lung cancer (SCLC)

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By Cristián Barrera, Prantesh Jain, Germán Corredor, Tanmoy Dam, Himanshu S Maurya, Tilak Pathak, Boulos Beshai, Stuthi Perimbeti, Jaishree Jagirdar, Kristin Higgins, Afshin Dowlati, Anant Madabhushi
| Nature Verified
Abstract First-line treatment for small-cell lung cancer (SCLC) involves platinum-based chemotherapy and immunotherapy for extensive (ES) and limited (LM) disease, respectively. Rapid progression and metastasis highlight the need for improved biomarkers. We developed PhenopyCell, a computational pathology tool that quantifies immune-tumor spatial architecture on Hematoxylin and Eosin (H&E) slides to predict outcomes.
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