GTC presented abstracts at ASH 2023 GTC’s posters from 2023 Convention of American Society of Hematology are now available to be downloaded. Please reach out with any questions. USING NEXT GENERATION SEQUENCING OF FLOW CYTOMETRY CD MARKERS AND MACHINE LEARNING AS A REPLACEMENT TO FLOW CYTOMETRY ANALYSIS FOR THE DIAGNOSIS
GTC presented abstracts at ASCO 2023 GTC’s posters from 2023 Convention of American Society of Clinical Oncology are now available to be downloaded. Please reach out with any questions. Distinguishing between cancer-related mutations and clonal hematopoiesis using cell-free RNA (cfRNA) expression levels in a machine learning model Download Poster Defining
GTC has a new publication in Heliyon titled “The Potential of Cell-Free RNA in Liquid Biopsy: Comprehensive Analysis of Mutation Profile, Chromosomal Abnormalities, and Immune Biomarkers”. This study explores the potential of cell-free RNA (cfRNA) and AI as valuable components of liquid biopsy for evaluating the host immune system and
AACR 23 Posters GTC’s posters from 2023 Convention of American Association for Cancer Research are now available to be downloaded. Please reach out with any questions. Predicting PD-L1 Status in Solid Tumors Using Transcriptomic Data and Artificial Intelligence Algorithms Download Poster The Molecular Landscape of Premenopausal Versus Postmenopausal Breast Cancer
Combining Longitudinal Real-World Data and Clinical Genomics Data Will Enable a More Precise Approach to Cancer Care and Research NEW YORK – COTA, Inc., an oncology real-world data and analytics company, today announced a new partnership with Genomic Testing Cooperative (GTC), a molecular testing company. The two companies are joining
GTC presented abstracts at ASH 2022 GTC’s posters from 2022 Convention of American Society of Hematology are now available to be downloaded. Please reach out with any questions. Download Poster Download Poster Want to explore more of our scientific content? Discover additional articles, videos, publications Search Search
GTC was recently published in the Journal of Medical Artificial Intelligence – Accuracy of predicting IgHV mutation status in chronic lymphocytic leukemia using RNA expression profiling and machine learning.
CHICAGO – With the publication of a paper validating two artificial intelligence-based algorithms for assisting pathologists in molecular profiling of patients, the Genomic Testing Cooperative (GTC) is fully implementing the technology at all of its member laboratories. The paper, which appeared earlier this month in the American Journal of Pathology, delved into
A Man with a Recurrent Left Pleural Effusion In late 2020, a new disease entity that was referred to as VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) syndrome was reported. Q: What is the cause of VEXAS syndrome?A: VEXAS syndrome is caused by somatic mutations in UBA1 (the gene that encodes ubiquitin-like modifier activating enzyme 1),
Abstract Multiple studies have demonstrated that diffuse large B-cell lymphoma (DLBCL) can be divided into subgroups based on their biology; however, these biological subgroups overlap clinically. Using machine learning, we developed an approach to stratify patients with DLBCL into four subgroups based on survival characteristics. This approach uses data from
