NIH-funded research U01 cooperative agreement

PRESCIENT: Predicting Psychosis risk in High-Risk Youth

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

Funded at University of Melbourne · NIH-11528614 · Data updated 2026-11-12

This project aims to improve early prediction of psychosis in teens and young adults at high risk using multiple biomarkers and clinical data to guide prevention.

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)$383,213
NIH project number3U01MH124631-06S1
Project IDNIH-11528614 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates are adolescents and young adults (roughly ages 12–20) who meet clinical high-risk criteria for psychosis.

Less likely to help

Individuals not at clinical high risk for psychosis or those not engaged in longitudinal follow-up may not benefit from this study.

What this research studies

PRESCIENT is a longitudinal study following individuals aged roughly 12–20 who are at clinical high risk for psychosis. Researchers collect diverse biomarker data and clinical information over two years to build and test models that predict outcomes like conversion to psychosis, persistence of risk, and functional recovery. The goal is to create tools that help clinicians identify who is most at risk and tailor early interventions to prevent or lessen illness impact. The study has already enrolled over a thousand CHR participants and hundreds of controls, with biomarker and follow-up data gathered at baseline and two months, and ongoing follow-up planned.

Why it matters

Potential benefit: If successful, this work could lead to more accurate early identification and personalized prevention strategies for youths at risk of psychosis.

How similar studies have gone: Previous large-scale efforts have shown promise in using multimodal data to predict psychosis risk, though optimal prediction remains challenging and ongoing.

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.