POSTER: Comprehensive Image Analysis Of Immunostained NSCLC Tissues Provides Necessary Context For Immune Oncology Biomarker Profiling
ABSTRACT Manual pathology assessments of Immunohistochemistry (IHC) markers in immuneoncology (IO) is often challenging and results can be highly variable. Measuring biomarker presence in IO
POSTER: Combined Immunohistochemistry And NGS-Based Patient Profiling For Predicting Anti-PD-1/PD-L1 Therapy Response
ABSTRACT There are several different modalities of predictive tests which support response to anti-PD-1/PD-L1 inhibitors therapy, including PD-L1 expression by immunohisto chemistry (PD-L1 IHC), mismatch
POSTER: Analysis of Companion Diagnostic Potentials For Multifaceted PD-L1 Assays
ABSTRACT In vitro diagnostic (IVD) approvals of qualitative immunohistochemical (IHC) assays offer unique patient selection strategies by equipping pathologists with new tools to assess tumor
POSTER: Building Predictive Models Of Clinical Outcomes In Immune Oncology Using Computational Tissue Analysis Scorecards
ABSTRACT Several studies have shown that the location and expression of infiltrating immune cells in patient tumors can better identify which patients are more likely
POSTER: Artificial Intelligence Assisted Macrophage Identification in Tumor Biopsies
BACKGROUND: Understanding response to immunotherapy requires accurate and complete characterization of tumor-associated immune cells in order to fully contextualize the immuno-oncology biomarker expression. Current standard
Pathologists Versus AI
Artificial intelligence (AI) systems for pathology may appear to compete with manual pathology, as they enable the assessment of thousands of cells and application of
