1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides
Bolesław L. Osinski, Aïcha BenTaieb, Irvin Ho +8
To achieve minimum DNA input and tumor purity requirements for next-generation sequencing (NGS), pathologists visually estimate macrodissection and slide count decisions. Misestima…
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…