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.

翻译：多囊肾病（PKD）可能因肾脏囊肿形成导致患者出现致命并发症，因此早期检测对疾病的有效管理至关重要。然而，诊断过程中涉及的各种患者特异性因素给临床医生带来了复杂的挑战。为此，本研究旨在利用基于深度学习方法实现疾病的早期检测。通过分析患者基因表达数据，所设计的神经网络能够对患者罹患PKD的可能性做出准确且稳健的预测。