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Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction
OBJECTIVE: 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 IUGR. MATERIALS AND...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6472728/ https://ncbi.nlm.nih.gov/pubmed/30998683 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0214121 |
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