Multimodal NASH prognosis using 3D imaging flow cytometry and artificial intelligence to characterize liver cells

To improve the understanding of the complex biological process underlying the development of non-alcoholic steatohepatitis (NASH), 3D imaging flow cytometry (3D-IFC) with transmission and side-scattered images were used to characterize hepatic stellate cell (HSC) and liver endothelial cell (LEC) mor...

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Veröffentlicht in:	Scientific reports Jg. 12; H. 1; S. 11180 - 10
Hauptverfasser:	Subramanian, Ramkumar, Tang, Rui, Zhang, Zunming, Joshi, Vaidehi, Miner, Jeffrey N., Lo, Yu-Hwa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 01.07.2022 Nature Publishing Group Nature Portfolio
Schlagworte:	631/114/2397 631/80/2373 Artificial intelligence Biomarkers Biopsy Cytology Disease Electronic health records Endothelial cells Fatty liver Flow cytometry Hepatocytes Humanities and Social Sciences Liver Machine learning Magnetic resonance imaging Mortality multidisciplinary Neural networks Science Science (multidisciplinary) Three dimensional imaging Ultrasonic imaging
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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