慢性肾病(CKD)

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Maze Therapeutics, Inc. (MAZE) Discuses On MZE782 Phase 1 Healthy Volunteer Trial Results Call (Transcript)
Seeking Alpha· 2025-09-12 07:25
PresentationAmy Bachrodt Good morning, everyone, and thank you for joining us today for Maze's event on data from the Phase I clinical trial of MZE782, an oral SLC6A19 inhibitor with potential to treat phenylketonuria or PKU in chronic kidney disease or CKD. [Operator Instructions]. As a reminder, this conference call is being recorded. Before we start, I would like to remind you that today's event, which is intended for the investment community, will include forward-looking statements based on current expe ...
Nature子刊:中山大学林浩添/陈崴团队开发AI模型,利用视网膜图像无创诊断慢性肾病
生物世界· 2025-08-04 12:02
慢性肾病诊断技术突破 - 研究团队开发了基于视网膜图像的肾脏智能诊断系统(KIDS),实现了慢性肾病(CKD)的无创筛查和病理类型识别 [2][3] - KIDS在多中心验证中表现出色,慢性肾病筛查AUC达0.839-0.993,病理类型识别AUC为0.790-0.932 [3][11][12] - 系统诊断准确率比肾病专家高26.98%,并能预测5年疾病进展 [12][16] 慢性肾病临床挑战 - 全球约8.5亿人受CKD影响,终末期可能危及生命 [6] - 传统肾脏活检存在局限性:11%病例出现血肿,1.6%需输血,且欠发达地区技术资源匮乏 [6] - 缺乏活检时治疗方案依赖专家主观判断,预后难以确定 [6] 技术创新价值 - KIDS通过视网膜图像结合临床数据实现病理预测,突破现有AI辅助诊断局限 [7][11] - 系统在中国南方、喀什和索马里等多民族数据集验证通用性 [11] - 无创特性特别适合高风险患者和资源匮乏地区,有望降低终末期肾病发病率 [16]