A recent study published in Science demonstrates the potential of sequencing B and T cell receptors for diagnosing autoimmune conditions. The study, which analyzed data from nearly 600 individuals, utilized machine learning and A.I. models to identify patterns in B and T cell receptors associated with specific diseases. The results, with an area under the receiver operating characteristic curve (AUROC) of 0.986, suggest that this approach could revolutionize autoimmune disease diagnosis, potentially replacing current expensive and time-consuming tests.