# AI2AMP-PD: Accelerating Parkinsons Diagnosis using Multi-omics and Artificial Intelligence

> **NIH NIH U01** · BRIGHAM AND WOMEN'S HOSPITAL · 2020 · $537,000

## Abstract

AI2AMP-PD: Accelerating Parkinson’s Diagnosis using Multi-omics and Artificial Intelligence
PROJECT SUMMARY AND ABSTRACT
Parkinson’s disease (PD) affects more than 7 million people worldwide, and biomarkers to bolster the therapeutic
pipeline are urgently needed. Developing biomarkers for clinical use is a difficult process that requires evaluation
of multiple, large cohorts, each adding confidence to the marker. The Accelerating Medicine Partnership in
Parkinson’s disease (AMP PD) consortium provides an unparalleled opportunity to rapidly achieve this previously
elusive goal.
 We hypothesize that a powerful, multi-omics classifier powered by standard and advanced machine
learning algorithms will accurately identify PD-associated biomarkers at genome scale. Transcripts and genomic
classifiers associated with PD will be identified in early-stage, untreated, patients with Dopamine Transporter-
neuroimaging-supported diagnosis represented in the PPMI cohort. Transcripts and genomic classifiers will be
rigorously replicated in the independent PDBP and BioFIND cohorts. Multi-omics classifiers using both PD-
associated transcriptome changes and PD-associated genomic variants will be built with state-of-the-art deep
learning techniques (e.g. variational autoencoder).
 This analysis will powerfully delineate --- for the first time --- the full spectrum of known and novel, coding
and noncoding RNAs linked to PD and detectable in circulating blood cells in a harmonized, large-scale data set.
It will develop and test highly innovative multi-omics classifiers and provide a generally useful computational
framework for large-scale, unbiased PD biomarker discovery.

## Key facts

- **NIH application ID:** 10157680
- **Project number:** 1U01NS120637-01
- **Recipient organization:** BRIGHAM AND WOMEN'S HOSPITAL
- **Principal Investigator:** Xianjun Dong
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $537,000
- **Award type:** 1
- **Project period:** 2020-09-30 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10157680

## Citation

> US National Institutes of Health, RePORTER application 10157680, AI2AMP-PD: Accelerating Parkinsons Diagnosis using Multi-omics and Artificial Intelligence (1U01NS120637-01). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10157680. Licensed CC0.

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