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在早期诊断和治疗早产的近期进展和挑战

Prashil Gondane¹, Sakshi Kumbhakarn¹, Pritiprasanna Maity²

¹Department of Medical Devices, National Institute of Pharmaceutical Education and Research Kolkata, 168, Maniktala Main Road, Kankurgachi, Kolkata 700054, India.

Bioengineering (Basel, Switzerland)

|February 23, 2024

概括

过早分娩 (PTB) 是导致婴儿死亡的主要原因. 本综述涵盖了风险因素,早期检测方法,如多omics和AI/ML,以及PTB的护理点测试.

科学领域:

产科和妇科产科和妇科
新生儿医学新生儿医学
生物标志物发现发现

背景情况:

早产 (PTB) 是新生儿死亡率和长期婴儿残疾的主要原因.
导致PTB的复杂且往往未知的机制阻碍了及时诊断和干预.
早期检测对于管理和预防与PTB相关的不良结果至关重要.

研究的目的:

提供关于早产风险因素的全面概述.
审查用于早期检测PTB的传统和先进方法.
讨论PTB诊断的新兴技术和挑战.

主要方法:

关于PTB风险因素,诊断程序和治疗措施的文献综述.
探索用于早期检测的多omics和人工智能/机器学习 (AI/ML) 方法.
使用横流免疫试验和微流体芯片分析蛋白质生物标记物检测原理.

主要成果:

确定了与早产相关的已知风险因素.
评估了传统和先进的PTB检测策略,包括多omics和AI/ML.
讨论了侧流免疫试验和微流体芯片用于蛋白质生物标志物检测的应用.
检查了PTB和其局限性的商业可用的临床检测 (POCT) 设备.

结论:

由于复杂的潜在机制,早期发现PTB仍然是一个重大挑战.
先进的技术,如多omics,AI/ML,和新的生物标志物检测平台显示改善PTB诊断的承诺.
需要进一步开发和验证POCT设备,以克服PTB管理中的当前挑战.

关键词:

生物标志物生物标志物侧流免疫测试 (LFIA) 装置微流体学在微流体学方面多种主题的多种主题.产前膜破裂 (PROM) 的治疗方法过早分娩 (PTB) 是什么意思

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