<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(2)</volume><submitter>Yin K</submitter><pubmed_abstract>&lt;b>Background/Objectives:&lt;/b> Sex-specific differences in metabolic dysfunction-associated fatty liver disease (MAFLD)-related hepatocellular carcinoma (HCC) remain poorly understood. This study aimed to clarify sex-associated disparities in disease progression and recovery using a diethylnitrosamine (DEN) plus Western diet/fructose-induced murine model combined with artificial intelligence (AI)-assisted histological analysis. &lt;b>Methods:&lt;/b> Male and female C57BL/6J mice received a single diethylnitrosamine injection and were fed a Western diet/fructose regimen for 38 weeks, followed by an 8-week recovery period on standard chow. Serum biochemical parameters were measured, and liver histology was assessed using second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) micro</pubmed_abstract><journal>Diagnostics (Basel, Switzerland)</journal><pagination>234</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12840184</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Use of Artificial Intelligence-Assisted Histopathology for Evaluation of Sex-Specific Progression and Regression of Hepatocellular Carcinoma Related to Metabolic Dysfunction-Associated Fatty Liver Disease.</pubmed_title><pmcid>PMC12840184</pmcid><pubmed_authors>Wu N</pubmed_authors><pubmed_authors>Ren Y</pubmed_authors><pubmed_authors>Fei R</pubmed_authors><pubmed_authors>Akbary K</pubmed_authors><pubmed_authors>Cong X</pubmed_authors><pubmed_authors>Rao H</pubmed_authors><pubmed_authors>Liu B</pubmed_authors><pubmed_authors>Wang W</pubmed_authors><pubmed_authors>Yang Q</pubmed_authors><pubmed_authors>Teng X</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Wang Z</pubmed_authors><pubmed_authors>Liao M</pubmed_authors><pubmed_authors>Yin K</pubmed_authors><pubmed_authors>Liu F</pubmed_authors><pubmed_authors>Song Y</pubmed_authors><pubmed_authors>Ai X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Use of Artificial Intelligence-Assisted Histopathology for Evaluation of Sex-Specific Progression and Regression of Hepatocellular Carcinoma Related to Metabolic Dysfunction-Associated Fatty Liver Disease.</name><description>&lt;b>Background/Objectives:&lt;/b> Sex-specific differences in metabolic dysfunction-associated fatty liver disease (MAFLD)-related hepatocellular carcinoma (HCC) remain poorly understood. This study aimed to clarify sex-associated disparities in disease progression and recovery using a diethylnitrosamine (DEN) plus Western diet/fructose-induced murine model combined with artificial intelligence (AI)-assisted histological analysis. &lt;b>Methods:&lt;/b> Male and female C57BL/6J mice received a single diethylnitrosamine injection and were fed a Western diet/fructose regimen for 38 weeks, followed by an 8-week recovery period on standard chow. Serum biochemical parameters were measured, and liver histology was assessed using second harmonic generation/two-photon excitation fluorescence (SHG/TPEF) micro</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-06-09T03:20:20.472Z</modification><creation>2026-06-09T03:12:01.071Z</creation></dates><accession>S-EPMC12840184</accession><cross_references><pubmed>41594210</pubmed><doi>10.3390/diagnostics16020234</doi></cross_references></HashMap>