Workshop C: Enhancing Patient Selection for Liver Biopsy in Trials
Time: 11:30 am
day: Pre Clinical Track Workshop C
Details:
This presentation will discuss screening algorithms for trials with different fibrosis and NAS score criteria. Current VCTEbased algorithms, such as FAST, Agile 3, and Agile 4, are not optimized for trial-specific needs, leading to high screen fail rates from liver biopsy. The ALADDIN study addresses this gap by using machine learning models trained on various fibrosis and NAS cutoffs. It integrates routine lab parameters, with and without VCTE, using data from 15 global centers and 5,000 patients. Separate test and validation sets ensure robust, generalizable findings to improve trial screening outcomes.
