1D-Convolutional Neural Network Method Improves UGT1A1 Genotyping Accuracy for Gilbert’s Syndrome Screening

Researchers have developed a new genotyping method for the UGT1A1 gene that uses an automated neural network to identify specific genetic variations associated with Gilbert’s syndrome and drug sensitivity. By combining polymerase chain reaction (PCR) with a 1D-convolutional neural network (1D-CNN), the study successfully differentiates between highly similar genetic alleles that previously proved…