First Trimester Prediction of Preterm Birth in Patient Plasma with Machine-Learning-Guided Raman Spectroscopy and Metabolomics-Reference-Cited by-同舟云学术

First Trimester Prediction of Preterm Birth in Patient Plasma with Machine-Learning-Guided Raman Spectroscopy and Metabolomics

Published:2023-08-07 Issue:32 Volume:15 Page:38185-38200
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Synan Lilly¹²,Ghazvini Saman¹²,Uthaman Saji¹²^ORCID,Cutshaw Gabriel¹²,Lee Che-Yu³,Waite Joshua⁴,Wen Xiaona²^ORCID,Sarkar Soumik⁴,Lin Eugene³,Santillan Mark⁵,Santillan Donna⁵,Bardhan Rizia¹²^ORCID

Affiliation:

1. Department of Chemical and Biological Engineering, Iowa State University, Ames, Iowa 50012, United States

2. Nanovaccine Institute, Iowa State University, Ames, Iowa 50012, United States

3. Department of Chemistry and Biochemistry, National Chung Cheng University, Chiayi 62106, Taiwan

4. Department of Mechanical Engineering, Iowa state University, Ames, Iowa 50012, United States

5. Department of Obstetrics and Gynecology, Carver College of Medicine, University of Iowa, Hospitals & Clinics, Iowa City, Iowa 52242, United States

Funder

American Heart Association

Congressionally Directed Medical Research Programs

Ministry of Science and Technology, Taiwan

National Institutes of Health

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c04260

Reference69 articles.

1. Global burden of preterm birth

2. Evaluation and validation of a new risk score (CLEOPATRA score) to predict the probability of premature delivery for patients with threatened preterm labor

3. Primary predictors of preterm labour

4. Cervical assessment by ultrasound for preventing preterm delivery

5. Implementing a Universal Cervical Length Screening Program in a Large Hospital System: It Takes Some Time to Achieve Consistent Results

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