Osteoarthritis (OA) can look very different from one person to another. Because of this, it is still difficult to diagnose and treat the disease well for most patients.

The PROBE project wants to improve the quality of life for people with OA. It will use artificial intelligence (AI) and many types of patient data to give more accurate, personalized care. PROBE also aims to make clinical trials better and to help develop new treatments that work (earlier) in the disease.

PROBE brings together many types of research and clinical information, such as genetic data and medical images. By combining this data, PROBE hopes to find new groups of OA patients. Using that information we want to discover which treatments work best for each group. This will help create more targeted treatments and better clinical trials.

AI will be used to find patterns in how OA develops and how patients respond to the disease. These patterns cannot be seen with current methods. With this new knowledge, doctors will be able to diagnose OA earlier and more accurately.

The main expected results of PROBE are:

• Better design of clinical trials.
• New prediction models to divide patients into subgroups based on how their OA is expected to develop.
• Improved ability to match treatments to each patient’s needs and wishes.
• New tools to measure how well treatments work in real life, not only in tests.