Pages that link to "Q31138564"
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The following pages link to Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases (Q31138564):
Displaying 13 items.
- Transcriptome-based repurposing of apigenin as a potential anti-fibrotic agent targeting hepatic stellate cells. (Q37678954) (← links)
- Translational Aspects of Diet and Non-Alcoholic Fatty Liver Disease (Q47154314) (← links)
- Upper Respiratory Symptoms, Gut Health and Mucosal Immunity in Athletes (Q47649326) (← links)
- Big Data's Role in Precision Public Health. (Q52624157) (← links)
- Mechanisms of NAFLD development and therapeutic strategies. (Q59443140) (← links)
- GIDB: a knowledge database for the automated curation and multidimensional analysis of molecular signatures in gastrointestinal cancer (Q64054442) (← links)
- MoDeSuS: A Machine Learning Tool for Selection of Molecular Descriptors in QSAR Studies Applied to Molecular Informatics (Q64235620) (← links)
- SEPSIS. Educational and Best Practice Frontiers. Beyond the Boundaries of Fatality, Enhancing Clinical Skills and Precision Medicine (Q89907445) (← links)
- Limitations of non-invasive tests for assessment of liver fibrosis (Q89968285) (← links)
- Random gene sets in predicting survival of patients with hepatocellular carcinoma (Q90004425) (← links)
- Big data in IBD: a look into the future (Q91117785) (← links)
- Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma (Q92407464) (← links)
- In Silico Toxicology Data Resources to Support Read-Across and (Q)SAR (Q93061511) (← links)