- active not recruiting
Machine Learning for Prediction of Therapy Response in Autoimmune Hepatitis
This study uses intelligent computer programs (AI) to better predict how people with Autoimmune Hepatitis will respond to treatment. By looking at a lot of patient information, researchers hope to help doctors choose the best treatments faster, improving patient health.
Germany - recruiting
PredIcting SterOid DepeNdEnt LivEr InjuRy with Polyreactive Immunoglobulin G
This study looks for a special marker called pIgG in blood to help diagnose certain liver problems like autoimmune hepatitis. We want to see if this marker can help tell the difference between different types of liver injury and predict if someone will need ongoing treatment.
Germany - ongoing, recruitingPhase II and Phase III (Integrated)
A two-part randomized, double-blind, placebo-controlled multicenter dose ranging and confirmatory study to assess the safety and efficacy of VAY736 in autoimmune hepatitis patients with incomplete response to or intolerance of standard therapy (AMBER)
This study is looking into a new treatment, VAY736, for adults with a liver condition called autoimmune hepatitis. It aims to see if VAY736 is safe and helps improve liver blood tests for people whose current treatments aren't working well or cause side effects.
Czechia · Germany