WHITE PAPER: Using Artificial Intelligence To Determine Patient Response To Immunotherapy
Key Concepts: While the current diagnostic strategies for PD-L1 checkpoint inhibitors identify some responders well, the majority of patients still need diagnostic approaches that better
POSTER: Methodology for Designing and Validating Computational Pathology Scores for Immune Cell Clustering in Tumor Biopsy Samples
Abstract Background Immune cell clustering is commonly observed in histopathology images. As the frequency and nature of immune cell clustering may represent biological phenomena critical to
POSTER: Comparison of Multiplexed Imaging Mass Cytometry with Monoplex Immunohistochemistry in FFPE Tissue
Abstract Multiplexed analysis of limited tissue samples can improve our understanding of tumor biology and the tumor microenvironment. Chromogenic and fluorescent multiplexed immunohistochemistry (IHC) approaches
POSTER: Computational Analysis of Multiplexed Immunohistochemistry for Understanding Immune Profiles in Clinical Biopsy Samples
Abstract Using immunohistochemistry (IHC) to examine immune infiltrates in tissue biopsy samples to support exploratory investigations for immuno-oncology drug development is critical for understanding the
POSTER: Analysis of Multiplexed Immunotherapy Targets and Secreted Ligands Using Computational Tumor Microenvironment Profiling
Abstract As the number and diversity of cellular and signaling pathway therapeutic targets in immuno-oncology increases, more therapy combinations are aimed at multiple cell types
CASE STUDY: Multiplex Assays with Coregistration Enables Multiple Biomarker Analyses Across Tissue Sections
Summit Therapeutics, a life sciences company developing a therapy for Duchenne muscular dystrophy (DMD), was faced with a drug development challenge. They needed to accurately
