Patient Segmentation & Enhancing Understanding of Efficacy: Leveraging Machine Learning to Predict Fast Progressors & the Value of MRI
Time: 1:00 pm
day: Day 2 Stream 2 PM
Details:
- Constructing a model to predict survival time of patients with NASH and/or portal hypertension, and identify fast progressors
- Evaluating current performance in treating patients with cirrhosis and features of portal hypertension, real-world evidence
- Non-invasive biomarkers for portal hypertension: HVPG vs integrating MRI into clinical trials to monitor therapeutic efficacy
