Rehabilitation plays a crucial role in achieving universal health coverage and promoting well-being for all. With an estimated 2.4 billion people living with health conditions that could benefit from rehabilitation, the need for these services is only expected to increase due to population changes and the impact of emergencies. In addition, complexities such as multiple health problems, social and living conditions, and differences in how patients communicate their experiences make it difficult to optimise treatment and personalise care. 

Currently, there is also a limited availability of well-developed, validated prediction models for determining patient disease progression and the effectiveness of different therapies. The traditional approach of developing them doesn’t suit the complex nature of the field. There is a need for innovative, robust and personalised tools that will support healthcare professionals and their patients in selecting optimal therapy strategies. 

PREPARE aims to pave the way for personalised and holistic rehabilitation and care by combining real-world clinical datasets in a unified manner using innovative machine learning techniques without sharing sensitive patient data. The project uses cutting edge research across the clinical, socio-behavioural, and public health domains to integrate data about patients’ living conditions as well as sociodemographic and behavioural information.  

Through the application of statistical and AI learning methods, our team of experts will showcase the power of its state-of-the-art through pilot cases in nine diseases constituting the most dominant cases for rehabilitation worldwide. The selection of diverse pilot cases will allow partners to address various challenges while focusing their expertise to continuously develop and improve the project’s models. PREPARE’s data-driven tools will transform the field of rehabilitation, contributing to better shared decision making and preparation for the patients’ futures. 

Nine pilot cases​


Lower limb loss​

Parkinson’s disease​

Spine disorders​


Hand and wrist disorders​

Intermittent claudication​

Hip and knee arthroplasty​

Temporo-mandibular articulation​