GTC presented abstracts at AACR 2023
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
The Molecular Landscape of Premenopausal Versus Postmenopausal Breast Cancer in Patients Without Inherited Predisposition Mutations
Real-world transcriptomic biomarkers as replacement for immunohistochemistry and FISH studies in breast cancer
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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