This study will further assess ERG components obtained with different ERG devices, to be considered in a prediction model for each diagnosis. The prediction models are diaMentis proprietary software used as an ERG-based diagnostic test (classified as a Software as Medical Device, SaMD) to support the diagnosis of schizophrenia and bipolar disorder type I. They involve the processing and analysis of specific retinal biosignatures (RSPA) with the support of statistical and mathematical modelling processes e.g. machine learning and statistical learning.
Age range
18 Years – 50 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Differences in ERG components vs control ERG with full-field ERG stimulation conditions.
Timeframe: Three ERG assessments within 6 weeks.
Differences in ERG components vs control ERG with Photopic Negative Response (PhNR) ERG stimulation conditions.
Timeframe: Three ERG assessments within 6 weeks.
Differences in ERG components vs control ERG with On-Off ERG stimulation conditions.
Timeframe: Three ERG assessments within 6 weeks.