Predicting and preventing severe mental illness: future research directions and clinical implications

The enormous personal, societal and economic burden caused by severe mental illness (SMI) has led to a focus on prediction and prevention in psychiatric research. Current approaches to identifying risk for psychosis, however, capture only a very small proportion of all individuals in the population who will go on to develop psychotic disorders. Blue-sky thinking is needed for SMI prediction and prevention research. This lecture will review evidence on current methods for psychosis prediction and explore emerging approaches that may enhance our ability to identify SMI risk more effectively — offering new avenues for early intervention and, ultimately, prevention.

Speakers

Professor Ian Kelleher, University of Edinburgh

Availability

This webinar is part of the Congress webinar 2025 package.  If you attended all four days of Congress, you will have access to these as part of your Congress package.  Otherwise the Congress webinar 2025 package can be purchased below.