Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction.

Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction.

<h4>Objective</h4>To interrogate the pathogenesis of intrauterine growth restriction (IUGR) and apply Artificial Intelligence (AI) techniques to multi-platform i.e. nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) based metabolomic analysis for the prediction of I...

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Bibliographic Details
Main Authors: Ray Oliver Bahado-Singh, Ali Yilmaz, Halil Bisgin, Onur Turkoglu, Praveen Kumar, Eric Sherman, Andrew Mrazik, Anthony Odibo, Stewart F Graham
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0214121

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https://doi.org/10.1371/journal.pone.0214121

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