For consortium members

Can Speech Alone Reveal Psychosis Symptoms? TRUSTING Study Shows Promising Results

The EU-funded TRUSTING Project has achieved a major research milestone in Work Package 2 (WP2). Showing that speech recordings alone can help predict symptom severity in people living with psychosis, without analysing what is actually being said. Predicting Psychosis Symptoms Using Speech Audio Only In a large international, multi-centre retrospective study covering ten languages. Researchers […]

Inside TRUSTING: New Video Series Shows How AI and Speech Could Transform Psychosis Care

How can everyday speech help predict relapse in psychosis? And how can artificial intelligence support clinicians and patients in identifying early warning signs in a safe and trustworthy way? To answer these questions, the TRUSTING project has released two new videos offering an inside look at the clinical study and the technology behind its speech-based […]

Recruitment Begins Across Europe in Major Clinical Study Milestone

The EU-funded TRUSTING Project has reached a major new phase as participant recruitment officially begins across international study sites under Work Package 4 (WP4). Ethical Approval Completed Across All TRUSTING Study Sites A key milestone for the TRUSTING clinical study has been the successful completion of ethical approval at all participating research centres. This confirms […]

TRUSTING Research Takes Centre Stage at World Congress of Psychiatry 2025

As part of Work Package 3 activities, the TRUSTING research project gained international visibility in October 2025 when its work on trustworthy speech technology in mental health research was presented at the World Congress of Psychiatry in Prague. During the congress, Dr. Sandra A. Just delivered a talk titled “How to evaluate the real-world impact […]

Help Improve Psychotic Relapse Detection: TRUSTING Launches New European Surveys

Two new European surveys have been launched as part of the TRUSTING Project, an EU-funded research initiative aiming to improve early detection and prevention of psychotic relapse using innovative digital tools and artificial intelligence. The surveys invite both service users and clinicians to share their experiences and professional practices in assessing relapse risk. Insights gathered […]