Integrated Multi-omics Data for Personalized Treatment of Obesity-associated Fatty Liver Disease
Integrated Multi-omics and Machine Learning-driven Personalized Treatment of Obesity-associated Fatty Liver Disease
About This Trial
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.
Who May Be Eligible (Plain English)
Original Eligibility Criteria
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Treatments Being Tested
To propose diagnostic tests for liver diseases before surgical decisions.
Observational although patients are candidates for metabolic surgery.