Patient Segmentation & Enhancing Understanding of Efficacy: Leveraging Machine Learning to Predict Fast Progressors & the Value of MRI

Time: 1:30 pm
day: Day 2 Stream 2 PM


  • 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