In this study. we introduce two innovative hybrid models designed for predicting individual pharmacy costs: the Autoencoder-Gated Recurrent Unit (Auto-GRU) and the GoogLeNet-Residual Network (GR-Net). Utilizing data from high utilizers obtained through the Medicaid rebate program. these models aim to provide accurate predictions of total pharmacy costs for individual patients. https://www.jmannino.com/