Condition: NAFLD · Obesity, Morbid · Comorbidities and Coexisting Conditions · Sponsor: Institut Investigacio Sanitaria Pere Virgili
The investigators seek to analyze the samples provided by patients with obesity-associated fatty liver disease at the multi-omics level and to integrate the results with clinical information, genotypic variants, and factors influencing inter-organ crosstalk. The main aim is to improve the interpretation of fatty liver disease associated with obesity and diabetes by developing predictive models built with algorithms from artificial intelligence. The challenge is to decipher the flow of information by exploring contributing factors, proximate causes of regulatory defects, and maladaptive responses that may promote therapeutic approaches.
This description comes directly from the study's public registry record.
Jorge Joven, Professor · +34977310300 · jorge.joven@urv.cat
Helena Castañé, MSc · +34977310300 · helena.castane@iispv.cat
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| Hospital Universitari Sant Joan | Reus, Tarragona, Spain | Recruiting |
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Source record: clinicaltrials.gov/study/NCT05554224