1 citations · 1 across the 4 of their papers we have counts for
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Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images
Kshitij Ingale, Sun Hae Hong, Qiyuan Hu +7
Molecular testing of tumor samples for targetable biomarkers is restricted by a lack of standardization, turnaround-time, cost, and tissue availability across cancer types. Additio…
Development and Validation of a Deep Learning-Based Microsatellite Instability Predictor from Prostate Cancer Whole-Slide Images
Qiyuan Hu, Abbas A. Rizvi, Geoffery Schau +13
Microsatellite instability-high (MSI-H) is a tumor agnostic biomarker for immune checkpoint inhibitor therapy. However, MSI status is not routinely tested in prostate cancer, in pa…
Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images
Kshitij Ingale, Sun Hae Hong, Josh S. K. Bell +8
MET protein overexpression is a targetable event in non-small cell lung cancer (NSCLC) and is the subject of active drug development. Challenges in identifying patients for these t…
Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer
Rohan P. Joshi, Bolesław L. Osinski, Niha Beig +3
MET is a proto-oncogene whose somatic activation in non-small cell lung cancer leads to increased cell growth and tumor progression. The two major classes of MET alterations are ge…