The Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) is a large international collaboration to develop algorithms using a set of clinical and cognitive assessments, multi-modal biomarkers, and clinical endpoints that can be used to predict the trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the testing of pharmacological interventions for CHR individuals in need. The goal is to accurately predict which individuals are likely to remit, experience an acute psychotic episode, or have intermediate outcomes that feature persistent attenuated psychotic and/or mood symptoms along with functional impairment. The prediction algorithms will have the potential to serve as early indicators of treatment efficacy in CHR persons. The AMP SCZ research program is made up of the Psychosis Risk Evaluation, Data Integration, and Computational Technologies - Data Processing, Analysis and Coordination Center (PREDICT-DPACC) and two clinical research networks, the Psychosis-Risk Outcomes Network (ProNET) and the Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT) networks. The two clinical research networks will recruit a large cohort of CHR young people aged 12-30 years (n=1,977) and healthy control (HC) participants (n=640) across 42 participating investigative sites from 13 countries. CHR participants will complete screening, baseline assessments and a battery of follow-up assessments across 18 - 24 months. HC participants will complete screening and baseline assessments and a subset (5 per site) will complete month 2, 12 and 24 visits.
Clinical High Risk, Psychosis, Remission, Conversion
The Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) is a large international collaboration to develop algorithms using a set of clinical and cognitive assessments, multi-modal biomarkers, and clinical endpoints that can be used to predict the trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the testing of pharmacological interventions for CHR individuals in need. The goal is to accurately predict which individuals are likely to remit, experience an acute psychotic episode, or have intermediate outcomes that feature persistent attenuated psychotic and/or mood symptoms along with functional impairment. The prediction algorithms will have the potential to serve as early indicators of treatment efficacy in CHR persons. The AMP SCZ research program is made up of the Psychosis Risk Evaluation, Data Integration, and Computational Technologies - Data Processing, Analysis and Coordination Center (PREDICT-DPACC) and two clinical research networks, the Psychosis-Risk Outcomes Network (ProNET) and the Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT) networks. The two clinical research networks will recruit a large cohort of CHR young people aged 12-30 years (n=1,977) and healthy control (HC) participants (n=640) across 42 participating investigative sites from 13 countries. CHR participants will complete screening, baseline assessments and a battery of follow-up assessments across 18 - 24 months. HC participants will complete screening and baseline assessments and a subset (5 per site) will complete month 2, 12 and 24 visits.
AMP SCZ® Observational Study: PREDICT-DPACC
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University of California Irvine, Irvine, California, United States, 92697
University of California Los Angeles, Los Angeles, California, United States, 90095,
University of California San Diego, San Diego, California, United States, 92103
University of California San Francisco, San Francisco, California, United States, 94121
Hartford Healthcare, Hartford, Connecticut, United States, 06106
Yale University/Connecticut Mental Health Center, New Haven, Connecticut, United States, 06519
University of Georgia, Athens, Georgia, United States, 30602
Northwestern University, Evanston, Illinois, United States, 60201
Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States, 02115
Washington University, Saint Louis, Missouri, United States, 63110
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
12 Years to 30 Years
ALL
Yes
Brigham and Women's Hospital,
Martha E Shenton, Ph.D., PRINCIPAL_INVESTIGATOR, Brigham and Women's Hospital/Harvard Medical School
Scott Woods, M.D., PRINCIPAL_INVESTIGATOR, Yale University
Barnaby Nelson, Ph.D., PRINCIPAL_INVESTIGATOR, Center for Youth Mental Health at the University of Melbourne/Orygen
2025-05-31