# Prediction of Risk and Resilience in Psychosis and Bipolar Spectrum Disorders: A Translational Multimodal Study

> **NIH MH K99** · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2026 · $117,263

## Abstract

This K99/R00 award will position the candidate to become an independent clinical researcher with expertise in
individualized novel phenotyping and prediction of risk and resilience to psychosis and bipolar spectrum
disorders (PBSD). Background. PBSD are among the most disabling conditions worldwide, evidenced by poor
quality of life and premature mortality. These disorders demonstrate pluripotentiality and heterotypic continuity
across clinical, cognitive, and neural phenotypes. The ability to predict transdiagnostic functional outcomes is
critical for implementing precision-based interventions. Despite advances in identifying shared risk factors and
pathophysiological mechanisms, translating research findings into clinical practice remains a challenge. Specific
Aims. This project synthesizes data from NIMH-sponsored clinical high-risk (CHR) cohort, the North American
Prodrome Longitudinal Study 2 and 3 (NAPLS-2, NAPLS-3) and Accelerating Medical Partnerships –
Schizophrenia (AMP-SCZ), and translates empirical findings to electronic health records (EHR). Aim 1.1 will
leverage the NAPLS cohorts to identify novel combinations of demographic, social determinants of health
(SDOH), clinical, cognitive, and biological factors associated with risk, remission, and resilience using machine
learning. Aim 1.2 will externally validate these models in AMP-SCZ and investigate the predictive power of digital
phenotyping measures. Aim 2.1 will apply temporal deep learning and explainable artificial intelligence (XAI) to
test these predictive models and align CHR variables with unique XAI-derived common data elements in the
demographically-diverse Epic EHR using a longitudinal retrospective design. Aim 2.2 will design a clinician-facing
nomogram for future deployment as an automated real-time predictor of PBSD as preparation for an R01
application. Training. The candidate will achieve these goals through a resource-rich institutional environment
and cohesive training plan in: (1) PB

## Key facts

- **NIH application ID:** 11283856
- **Project number:** 1K99MH142720-01
- **Recipient organization:** UNIVERSITY OF CALIFORNIA LOS ANGELES
- **Principal Investigator:** Brittany J Wolff
- **Activity code:** K99 (R01, R21, SBIR, etc.)
- **Funding institute:** MH
- **Fiscal year:** 2026
- **Award amount:** $117,263
- **Award type:** 1
- **Project period:** 2026-05-06T00:00:00 → 2028-04-30T00:00:00

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11283856

## Citation

> US National Institutes of Health, RePORTER application 11283856, Prediction of Risk and Resilience in Psychosis and Bipolar Spectrum Disorders: A Translational Multimodal Study (1K99MH142720-01). Retrieved via AI Analytics 2026-07-06 from https://api.ai-analytics.org/grant/nih/11283856. Licensed CC0.

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