DIAGNOSING ELECTRON TEMPERATURE USING MACHINE LEARNING AND NEUTRAL TUNGSTEN SPECTRAL EMISSION


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

ObjectiveTo 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 methodsMS and NMR based metabolomic analysis were perf

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