Active not recruitingOBSERVATIONAL

Machine Learning for Prediction of Therapy Response in Autoimmune Hepatitis

This research aims to use smart computer programs, called Artificial Intelligence (AI) or Machine Learning (ML), to better understand and predict how people with Autoimmune Hepatitis (AIH) will respond to their treatment. By carefully looking at information from many patients with AIH, both in the UK and in other countries, the study hopes to find patterns that help predict if a treatment is working well. The goal is to develop computer tools that can tell doctors which patients are likely to get better with their current treatment after 6 or 12 months. This could help doctors make quicker decisions about adjusting treatment, leading to better care and improved health for people with AIH.

At a glance

Status

Active not recruiting

Sponsor

Hannover Medical School

Enrolment target

5,000

Start

05 Jan 2026

Estimated completion

01 Jan 2028

Autoimmune Hepatitis

What is this study about?

Autoimmune Hepatitis (AIH) is a condition where your body's immune system mistakenly attacks your liver. Treatment usually involves medicines to calm down your immune system. However, it can sometimes be hard to know if a treatment is working as well as it should be for each individual, or if changes are needed. This study is exploring a new way to help doctors make these decisions.

Researchers are using advanced computer programs, often called Artificial Intelligence (AI) or Machine Learning (ML). These programs are very good at sifting through large amounts of information to find hidden patterns. In this study, they're looking at details from thousands of patients with AIH to understand what factors might influence how well someone responds to treatment. The aim is to create computer models that can predict, with good accuracy, whether a patient will respond well to their treatment after 6 months and 12 months.

The information used comes from long-standing health records and registries, both in the UK and internationally. The exciting part is that once these computer models are developed, they will be tested in new groups of patients to make sure they are reliable and work for everyone, not just the initial group they learned from. This project hopes to give doctors powerful new tools to help them personalise treatment plans, meaning each patient gets the most effective care for their specific needs, leading to better outcomes for people living with AIH.

Key takeaways

Uses AI to predict how people with Autoimmune Hepatitis respond to treatment.
Aims to improve and personalise treatment decisions for doctors.
Relies on existing patient health data, so no new tests are needed for participants.
Could lead to better health outcomes for patients with Autoimmune Hepatitis.
Your identify is protected, as data is anonymised.
The study has a team of experts in liver diseases and AI.

Who may be eligible?

To be included in this study, patients must have received a diagnosis of Autoimmune Hepatitis. It's also important that they have agreed to share their health information with a specific medical registry, which is a secure collection of patient data. Finally, they need to have had at least 12 months of follow-up care data available within that registry.

There are some reasons why someone might not be able to take part. For example, if your liver condition is considered a 'variant syndrome' (meaning it's a bit different from typical Autoimmune Hepatitis), or if you also have another autoimmune disease affecting other parts of your body, you wouldn't be eligible. Also, if you were already on medicines to suppress your immune system at the time you were diagnosed with Autoimmune Hepatitis, you would not be included in this study.

Could this study suit you?

Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.

Have I been diagnosed with Autoimmune Hepatitis?
Have I agreed for my health data to be used in a medical registry?
Do I have at least 12 months of follow-up care information available?
Do I have any other major autoimmune diseases apart from Autoimmune Hepatitis?
Was I already taking immune-suppressing medicines when I was diagnosed with AIH?

Answer every question to see your result.

What does participation involve?

This study primarily involves looking at existing patient records and does not require you to undergo any new tests, visits, or take different medications. Your participation would mean that researchers can use your anonymised health data, which you've already agreed to share with a registry, to help train and test their computer models. Therefore, there are no additional appointments, medication changes, or follow-up activities specifically for this study. It's about using information that already exists to improve future care.

Potential risks and benefits

The main benefit of this study is that it could lead to better and more personalised treatment plans for people with Autoimmune Hepatitis in the future, ultimately improving patient health. As this study uses existing, anonymised patient data, there are no direct risks to individual patients in terms of medical procedures or changes to your current treatment. Your personal identity will be protected. You always have the right to withdraw your consent for your data to be used in research, even if you previously agreed, by contacting the relevant registry.

Locations (2)

Else Kroener Fresenius Center for Digital Health, Technical University Dresden
Verified postcode
Dresden, Germany
Hannover Medical School
Verified postcode
Hanover, Germany

Common questions

What is 'Autoimmune Hepatitis'?

It's a liver disease where your body's immune system mistakenly attacks its own liver cells.

What is AI or Machine Learning?

These are types of smart computer programs that can learn from large amounts of information to find patterns and make predictions.

Will this study affect my current treatment?

No, this study uses existing patient data and will not change your current diagnosis or treatment plan.

Is my personal information safe?

Yes, any data used will be anonymised, meaning your personal identity will be protected and not linked to the study results.

How could this study help me or others?

By improving how doctors predict treatment response, it could lead to more effective and personalised care for people with Autoimmune Hepatitis in the future.