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Zaitsev et al. developed the Kassandra machine learning algorithm for accurate reconstruction of the tumor microenvironment (TME) using bulk RNA sequencing and a large dataset of over 9,400 RNA profiles. The algorithm successfully identified 51 unique cell subpopulations and demonstrated a correlation between PD-1-positive CD8+ T cells and immunotherapy response across multiple cancers. This innovative approach enhances the predictive potential of established biomarkers and may have significant clinical app

Author

Revital Carmeli

Language

EN