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Recent Advances and Challenges in the Early Diagnosis and Treatment of Preterm Labor
Version 1
: Received: 30 December 2023 / Approved: 2 January 2024 / Online: 3 January 2024 (08:34:27 CET)
A peer-reviewed article of this Preprint also exists.
Gondane, P.; Kumbhakarn, S.; Maity, P.; Kapat, K. Recent Advances and Challenges in the Early Diagnosis and Treatment of Preterm Labor. Bioengineering 2024, 11, 161. Gondane, P.; Kumbhakarn, S.; Maity, P.; Kapat, K. Recent Advances and Challenges in the Early Diagnosis and Treatment of Preterm Labor. Bioengineering 2024, 11, 161.
Abstract
Births occurring before thirty-seven weeks of gestation are referred to as preterm births (PTBs), which is the primary cause of neonatal mortality and long-term disabilities. The unknown mechanism behind PTB makes diagnosis difficult, yet early detection is necessary for controlling and averting related consequences. The primary focus of this work is to provide an overview of the known risk factors associated with preterm labor and the conventional and advanced procedures for early detection of PTB, including multi-omics and artificial intelligence (AI)/machine learning (ML)-based approaches. It also discusses the principles of detecting various proteomic biomarkers based on lateral flow immunoassay and microfluidic chips, along with the commercially available point-of-care testing (POCT) devices and associated challenges. After briefing the therapeutic and preventive measures of PTB, the review summarizes with an outlook.
Keywords
Preterm birth (PTB); premature rupture of membrane (PROM); biomarkers; lateral flow immunoassay (LFIA) device; microfluidics; multi-omics
Subject
Chemistry and Materials Science, Biomaterials
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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