ARTIFICIAL INTELLIGENCE BASED IN VITRO DISSOLUTION PROFILES OF A MATRIX-CONTROLLED RELEASE TACROLIMUS, PELLET PREPARATION

A method for envisaging an in vitro dissolution profiles of a matrix Controlled release tacrolimus pellet preparation, wherein the method comprises of:predicting the dissolution profiles of tacrolimus pellets containing different ratios of microcrystalline cellulose (MCC) and glycerylmonostearate (GMS) using neural network;predicting rate of drug release for each matrix ratio of the different ratios using leave one-out as well as a time-point by time-point estimation; predicting trend of the in vitro dissolution profile using an artificial neural network (ANN), wherein the trend is associated with composition of the matrix; andcomparing predicted output with one set of reference dissolution profiles obtained during tacrolimus pellet preparation, wherein closeness between the predicted output and the reference dissolution profiles is investigated using similarity factor (f2). predicting the dissolution profiles of tacrolimus pellets containing different ratios of microcrystallline cellulose (MCC) and glyceryl monostearate (GMS) using neural network predicting rate of drug release for each matrix ratio of the different ratios using leave-one-out as well as a time-point by time-point estimation 104 predicting trend of the in vitro dissolution profile using an artificial neural network (ANN), wherein the trend is associated with composition of the matrix 106 comparing predicted output with one set of reference dissolution profiles obtained during tacrolimus pellet preparation, wherein closeness between the predicted output and the reference dissolution 108 profiles is investigated using similarity factor (f2). Dug r t SObjectives Validation of Artfioarnting evaluation Variables for methodology Inelgneoptimization Design-In vitro evaluation