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Tackling the complexity of nonalcoholic steatohepatitis treatment: challenges and opportunities based on systems biology and machine learning approaches

   
@article{HBSN21886,
	author = {Carlos J. Pirola and Silvia Sookoian},
	title = {Tackling the complexity of nonalcoholic steatohepatitis treatment: challenges and opportunities based on systems biology and machine learning approaches},
	journal = {Hepatobiliary Surgery and Nutrition},
	volume = {7},
	number = {6},
	year = {2018},
	keywords = {},
	abstract = {Nonalcoholic fatty liver disease (NAFLD) is regarded as the most frequent cause of chronic liver damage (1,2). The natural history of the disease presents a complex scenario of potential progression into severe clinical outcomes, including nonalcoholic steatohepatitis (NASH), NASH-fibrosis, cirrhosis, and hepatocellular carcinoma (1,2). In addition, NAFLD is closely associated with comorbidities of the metabolic syndrome (MetS), including type 2 diabetes, obesity, arterial hypertension, and dyslipidemia, which together aggravate the morbidity and mortality associated with the disease.},
	issn = {2304-389X},	url = {https://hbsn.amegroups.org/article/view/21886}
}