In some embodiments, the present disclosure provides a computer-implemented
system for predicting the
inhibitory effect of a
bacteriophage cocktail on the growth of bacterial isolates, wherein the
system comprises a training module, configured to
train machine learning models to identify patterns and data structures from interaction data between different
bacteriophage cocktails and bacterial isolates at times t and t+1 to fit prediction parameters; and, a prediction module, configured to predict the interaction between a
bacteriophage cocktail and a bacterium at time t+1 from the interaction data at time t using the trained
learning models. In some embodiments, the present disclosure further comprises a pre-
processing module, configured to pre-
process interaction data between a bacteriophage cocktail and a
bacterial isolate for normalization using filters and / or transformations, and a post-
processing module configured to produce rankings and comparisons between the different bacteriophage cocktails and bacterial isolates analyzed. Another embodiment of the present disclosure provides a computer-implemented method for predicting the
inhibitory effect of a bacteriophage cocktail on the growth of bacterial isolates. Another embodiment of the present disclosure provides a use of the computer- implemented
system for predicting the
inhibitory effect of a bacteriophage cocktail on the growth of bacterial isolates.