Active Mental Health

STEP - Stratification and Treatment in Early Psychosis

In plain English

AI plain-English summary

Doctors currently prescribe the same antipsychotic drugs to everyone with early psychosis, even though patients respond very differently. This project will test whether simple biomarkers—including data from patients’ own mobile devices—can predict who will improve and who will not, and whether personalised treatment plans work better than the current one-size-fits-all approach. The problem is that early psychosis treatment remains largely guesswork. Without reliable ways to stratify patients, many receive drugs that do not help them, while others miss out on treatments that might. This project also plans to evaluate cannabidiol (CBD) as a new class of treatment for psychosis, and to test whether existing drugs become more effective when matched to specific patient subgroups identified through stratification. If successful, this could shift how psychosis is assessed and treated from the earliest stages. Clinical services might reorganise around personalised care rather than standard protocols. The project also aims to build a global translational research platform for testing novel treatments, which could accelerate the development of new therapies and strengthen collaboration with industry. Digital tools embedded in mobile devices could become routine for monitoring and predicting outcomes, quietly improving care without requiring patients to visit clinics more often.

View original technical description
Ground-breaking nature of the project Many of the expected impacts from this proposal are innovative. It aims to demonstrate that biomarkers can be used to stratify patients in the early phase of psychosis according to clinical outcomes, and that this can improve clinical care by providing a basis for more personalised treatment. Moreover, these biomarkers include measures acquired by employing novel digital technologies in mobile devices, and the prediction of outcomes will be facilitated by new tools that generate personalised estimates of a given outcome. The project will also evaluate a new class of treatment for psychosis (Cannabidiol) and assess whether existing treatments are more effective when used in specific subgroups patients that have been identified through stratification. Finally, the project aims to create a global translational research platform for the evaluation of novel treatments. The long-term impact will include the following domains: - Conceptual shift in approach to assessment in psychosis - Clinical impact of stratification - New classes of treatment and therapeutic targets - Reorganisation of clinical services - Improved care for patients, carers and families - Translation of research - Collaboration with industry - Health economics benefits - Implementation of digital technology in the early phase of psychosis

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Researchers

Nikolaos Koutsouleris (EPMC Awardee)Paolo Fusar-Poli (EPMC Awardee)Philip McGuire (EPMC Awardee)Scott Woods (EPMC Awardee)Tyrone Cannon (EPMC Awardee)Valeria Mondelli (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Evaluating a digital stratified medicine approach to psychotic disorders
Psych-STRATA - A Stratified Treatment Algorithm in Psychiatry: A program on stratified pharmacogenomics in severe mental illness
A New Intervention for Implementation of Pharmacogenetics in Psychiatry
Using genetics to stratify patients and improve prediction of clinically relevant outcomes in psychiatry and neurology
Psych-STRATA_A Stratified Treatment Algorithm in Psychiatry: A program on stratified pharmacogenomics in severe mental illness

Original classification

Innovations Priority Project

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