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Pathology Visions 2024

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Nov 8 / Roche
Mutation Detection in Lung Cancer Using Heterogeneity Derived from Quantitative Pathology Features
In this study, we test the hypothesis that morphological heterogeneity in tumor cell populations reflects the level of genetic variation, which in turn provides information about the presence of mutations. This study aims to harness tumor heterogeneity derived from Quantitative Pathology Features (QPFs) for the classification of known (mutation or fusion) and unknown drivers in lung cancer patients.
12:00 PM
Duration 1hr Orlando, Florida
Mutation Detection in Lung Cancer Using Heterogeneity Derived from Quantitative Pathology Features
Yao Nie

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