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We tested 48 diverse homologs of SfaB and identified several enzyme variants that were more active than SfaB at synthesizing the nylon-6,6 monomer.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.