2018 Global AI-based Pathology Solutions in Immuno-oncology Technology Innovation Award
Based on its recent analysis of the global market for artificial intelligence (AI)-based pathology solutions in immuno-oncology (I-O), Frost & Sullivan recognizes Flagship Biosciences, Inc.
Validation of a Muscle-Specific Tissue Image-Analysis Tool for Quantitative Assessment of Dystrophin Staining in Frozen Muscle Biopsies
Key Concepts: Flagship Biosciences’ MuscleMap algorithm that supports therapeutic development for DMD, a fatal neuromuscular disease, has been validated to be as effective as manual
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: 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
