PhD student Olly Kravchenko et al. use a new approach to predict how well patients with mental health issues respond to online therapy, utilizing polygenic risk scores and nationwide register data in addition to established predictors of treatment outcomes.
They found that novel predictors like ADHD and financial needs can affect therapy outcomes. The next step is to develop an intelligent machine learning model to make these predictions even more precise, helping tailor therapy to individual needs.
Read more about their research here
Rücklab - Psychiatry research at Karolinska Institutet 