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The study found that key CD8+ T cells showed signs of constant stimulation that lead to an exhausted state, a condition that is well-studied in cancer.
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A tool co-developed by Cornell researchers uses AI and machine learning to solve and predict how human proteins might interface and interact with other proteins, which can greatly accelerate fundamental research and clinical precision medicine.