Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach
Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
Nonalcoholic fatty liver disease (NAFLD), nowadays the most prevalent chronic liver disease in Western countries, is characterized by a variable phenotype ranging from steatosis to nonalcoholic steatohepatitis (NASH). Intracellular lipid accumulation is considered the hallmark of NAFLD and is associated with lipotoxicity and inflammation, as well a...
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Full title
Predicting Non-Alcoholic Steatohepatitis: A Lipidomics-Driven Machine Learning Approach
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11172949
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11172949
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ISSN
1422-0067,1661-6596
E-ISSN
1422-0067
DOI
10.3390/ijms25115965
