The main aim is to address this by identifying at-risk individuals earlier, developing personalised treatment strategies grounded in the biological basis of TR, and efficiently implementing these insights in clinical practice and treatment guidelines.
Psych-STRATA will examine diverse data, including genetic, biological, digital mental health, and clinical information to better understand TR and identify those at risk. Using Europe-wide clinical trial information, the project will determine optimal treatment strategies for those at risk of TR.
The research will aid in the creation of new machine-learning models to predict TR risk and treatment response. Finally, the project aims to integrate these findings into clinical practice, assisting clinicians and patients in making informed treatment decisions.