In summary, this study, based on machine learning and transcriptomics, has the potential to screen and construct a predictive model for CKD progression, thereby filling a gap in the existing research and demonstrating significant application potential.
机器学习与转录组学在CKD预测模型中的应用
本文探讨了机器学习与转录组学在慢性肾病（CKD）预测模型中的应用，基于2025年最新研究，详细解析了模型构建过程、应用潜力及其在填补现有研究空白中的重要作用。
与梅斯小智对话
