Published in Science · View the paper (DOI)
A new study introduces Mal-ID, a machine learning framework that analyzes immune receptor datasets to identify disease signatures. It achieved high classification accuracy in distinguishing six distinct disease states with a multiclass AUROC score of 0.986.
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