精密医学
狼疮性肾炎
医学
生物标志物
个性化医疗
靶向治疗
生物标志物发现
个性化
疾病
人工智能
机器学习
生物信息学
重症监护医学
计算机科学
病理
内科学
生物
蛋白质组学
生物化学
基因
癌症
万维网
作者
Shunlai Shang,Jikai Xia,Guo‐Wei He,Yan Zheng,Jian Zhang,Haitao Lu,Haifeng Wang,Wenge Li,Qinggang Li,Xiangmei Chen
出处
期刊:EBioMedicine
[Elsevier BV]
日期:2025-06-03
卷期号:117: 105785-105785
被引量:4
标识
DOI:10.1016/j.ebiom.2025.105785
摘要
With the rapid evolution of precision medicine, diagnostic, and therapeutic strategies for lupus nephritis (LN) are progressively shifting towards greater personalisation and accuracy. On the diagnostic front, the discovery and deployment of novel molecular biomarkers, together with the integration of artificial intelligence (AI) and machine learning (ML) technologies, have opened new avenues for delineating disease subtypes and forecasting treatment responses, thereby optimising clinical decision-support systems. In the therapeutic domain, innovations in targeted biologics and the precise application of diverse targeted modalities have shown promise in enhancing efficacy while reducing adverse effects. The triadic synergy of molecular biomarker breakthroughs, iterative advances in intelligent computational tools and pioneering targeted therapies is poised to usher LN in a new era of customised diagnosis and intervention.
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