NIH-funded research U01 cooperative agreement

PRESCIENT: Predicting Psychosis Risk in Adolescents

Official title: Trajectories and Predictors in the Clinical High Risk for Psychosis Population: Prediction Scientific Global Consortium (PRESCIENT)

Funded at University of Melbourne · NIH-11528609 · Data updated 2026-11-12

A long-term study in teens at risk for psychosis uses biomarkers and clinical data to predict who may develop psychosis or related outcomes.

More Psychosis research and trials

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionUniversity of Melbourne
NIH-funded
Lab location1 site (Melbourne, Australia)
Project startSeptember 8, 2020
Project endAugust 31, 2027
Funding year2026
Award (this year)$86,975
NIH project number3U01MH124631-06S3
Project IDNIH-11528609 on NIH RePORTER

Who could benefit from this research

Could help

Teens and young adults aged 12–20 who are at clinical high risk for psychosis and are willing to participate in long-term follow-up.

Less likely to help

Individuals not at high risk or unwilling to participate in follow-up assessments may not benefit from this research.

What this research studies

This project follows teens aged 12–20 who are at clinical high risk for psychosis, gathering multiple biomarkers and clinical information over two years to build reliable risk predictions. Researchers use brain, biological, and clinical data to create models that estimate individual chances of developing psychosis or experiencing changes in symptoms and functioning. The study has already enrolled participants and completed baseline and early follow-up measurements, with ongoing monitoring and data analysis in a global collaboration. The aim is to enable earlier, more personalized prevention and care for youth at risk.

Why it matters

Potential benefit: If successful, the work could lead to earlier identification and personalized prevention strategies for teens at risk of psychosis, potentially reducing disability and improving outcomes.

How similar studies have gone: Previous large-scale efforts have shown promise in combining biomarkers and clinical data to predict psychosis risk, with ongoing refinement in PRESCIENT.

Where this research is happening

  • University of Melbourne
    Melbourne, Australia
    Active

Researchers

  • Principal investigator: Nelson, Christopher Barnaby — University of Melbourne
  • Study coordinator: Nelson, Christopher Barnaby

Related research

Other NIH-funded projects on the same topics.

  • Psychosis in diverse settings across the world

    This project studies how psychotic disorders show up and respond to treatment in adults with diverse backgrounds, including populations in Africa, the Caribbean, and other Global South settings.

    NIH research Suny Downstate Medical Center · Brooklyn, United States · NIH-11592428

  • Psychosis in Diverse Settings: Understanding Symptoms and Treatment Across Global South

    A human-facing study will look at how psychotic disorders present and respond to treatment in adults from Africa, the Caribbean, and other Global South settings, using genetic and clinical data.

    NIH research Suny Downstate Medical Center · Brooklyn, United States · NIH-11592427

  • A new online brain-scan-style tool to spot early psychosis risk

    A new online-based set of tasks and a computer model aims to identify people at high risk for developing psychosis earlier and more accurately.

    NIH research Northwestern University · Chicago, United States · NIH-11590585

  • Genetic clues for early-onset psychosis in Latino youth

    This project looks at the genes of young people with early-onset psychosis and compares them with similar youths without psychosis to find genetic factors that contribute to the illness.

    NIH research Boston Children's Hospital · Boston, United States · NIH-11554752

  • Biomarkers to tailor rehab for Veterans with schizophrenia

    A clinician-scientist is developing a brain-based biomarker to guide personalized rehabilitation for Veterans with schizophrenia.

    NIH research VA San Diego Healthcare System · San Diego, United States · NIH-11552825

  • Computational analysis of facial expression in early psychosis

    Aims to develop computer-based measures of facial expression in people at risk for or with schizophrenia to help track symptoms and guide future trials.

    NIH research Icahn School of Medicine at Mount Sinai · New York, United States · NIH-11539126

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.