Machine Learning Model Rapidly Identifies Tumor-Fighting Immune Cells to Enable Faster Cancer Therapies
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Scientists developed a machine learning model that can identify tumor-reactive T cell receptors in just days rather than months.
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The model was trained on single cell sequencing data from tumor infiltrating lymphocytes.
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It can predict tumor-reactive T cells with 90% accuracy across cancer types.
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This technology enables faster development of personalized T cell therapies for cancer patients.
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The researchers started a biotech company, Tcelltech, to bring this predictive model into clinical use.