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
Defining the immune microenvironment
in myelodysplastic syndrome
and acute myeloid leukemia
using machine learning
Using machine learning to characterize lung cancer microenvironment and the development of a model to predict the presence of similar microenvironment in other cancers
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Innovation
Using cell-free RNA to identify B- and T-cell clonality fordiagnosis and monitoring of B- and T-cell neoplasms
New Paper published in FEBS openbio Cell-free RNA (cfRNA) is emerging as a supplemental approach for liquid biopsy (LBx). Given that lymphoid cells and plasma
August 14, 2026 No Comments
Innovation
Biology-based multi-class classification of cancer using genomics and artificial intelligence
Abstract Cancer classification traditionally focuses on tissue of origin and histology appearance. Traditional “hard” classification for a specific diagnostic class yields binary yes/no class prediction.
August 4, 2026 No Comments
July 2, 2026 No Comments
July 2, 2026 No Comments
July 2, 2026 No Comments
July 2, 2026 No Comments