Defining RNA signatures associated with graft tolerance opens the door to identifying new biological markers and therapeutic targets, paving the way for personalized immunosuppressant therapy. By combining high-throughput RNA sequencing with advanced deep learning, researchers can uncover molecular patterns critical to understanding kidney graft tolerance. With these insights, machine learning algorithms can be trained to generate prognoses and diagnoses—helping to improve transplant outcomes using only a patient’s blood sample.
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