Defining RNA signatures associated with graft tolerance may also provide the opportunity to identify new biological markers or therapeutic targets in this process and allow for the personalization of immunosuppressant therapy Impact and clinical application. The combined power of high-throughput next-generation RNA sequencing and deep learning enables the gathering of molecular insights critical for understanding the mechanisms underlying kidney graft tolerance. With this knowledge, trained machine learning procedures can ultimately be utilized for making prognoses or diagnoses about kidney transplantations to improve patient outcomes—all from just the patient’s blood sample.
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