ClinicalTrials.gov
public full text
Public Domain
Omics Techniques in Fatty Liver Disease
Nonalcoholic steatohepatitis (NASH) is the most common cause of chronic liver disease in Western countries and one of the leading causes of liver transplantation in the world. Its spectrum ranges from simple steatosis to decompensated cirrhosis, resulting from progressive fibrosis due to inflammation and cellular injury. The reasons why patients with the same degree of steatosis have different evolutions are not sufficiently known. The objective of this project is to identify biomarkers that predict disease progression, using omics techniques, which can serve to develop new therapeutic strategies.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Multi-modal AI-enabled steatotic liver disease diagnostics using facial images and metabolomics.#613528
- Multi-Omics Biomarker Signatures for Precision Diagnosis and Prognosis in Primary Liver Cancer: A Literature Review.#662747
- Precision Medicine for Colorectal Cancer Liver Metastasis Guided by Multi-omics Data Under the Umbrella Theory#1010956
- Integrative Multi-Omics in Biomedical Research#486584
- Integrated Multi-omics Data for Personalized Treatment of Obesity-associated Fatty Liver Disease#460016
Record · ID 831532
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive