US Patent 11756653 Machine learning model for predicting multidrug resistant gene targets

A method of predicting a gene target sequence for a gene-modifying therapeutic, such as a CRISPR-based therapeutic, that includes the steps of determining a genomic dataset for one or more infectious bacterial samples isolated from one or more hospitals, and inputting the genomic dataset for the one or more infectious bacterial samples into a machine learning model to determine the presence of antimicrobial resistance genes.