With Polycystic Kidney Disease (PKD) potentially leading to fatal complications in patients due to the formation of cysts in the kidneys, early detection of PKD is crucial for effective management of the condition. However, the various patient-specific factors that play a role in the diagnosis make it an intricate puzzle for clinicians to solve. Therefore, in this study, we aim to utilize a deep learning-based approach for early disease detection. The devised neural network can achieve accurate and robust predictions for possible PKD in patients by analyzing patient gene expressions.
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