# The Advanced Analytics Research Core will support all four Research Projects at the University of Rochester Udall Center

> **NIH NIH P50** · UNIVERSITY OF ROCHESTER · 2021 · $303,684

## Abstract

SUMMARY
The Advanced Analytics Research Core of the UR-Udall Center will unite deep biostatistical expertise and PD
research experience at the University of Rochester with leading computational science talent from the
University of Rochester, Johns Hopkins, Aston University, Sage Bionetworks, and MIT to support the UR-Udall
Center's research projects and to conduct novel cross-project analyses. These projects will rely on large data
sets, including the largest repository of PD clinical trial data (Project 1) and enormous data streams from
smartphones (Project 3) and novel principally passive sensors (Project 4). The Advanced Analytics Research
Core will rely on the talents of the Core's investigators, the resources of the individual institutions, and the data
management expertise of the Center for Health + Technology to conduct its work.
To enable cross-project analyses, we will enroll a group of “Super Users” (50 with PD and 20 without) that will
undergo a standardized battery of in-clinic assessments over two years in addition to evaluation by at least
three of the four sensors that are part of Research Projects 3 and 4, specifically smartphone, wearable sensor,
video-based sensor, and radio wave-based sensor. This group will be one of the first to pair traditional clinical
PD assessments with evaluations by multiple novel sensors in clinical and real-world settings. This highly
characterized group will enable evaluation of the sensors' relative ability to differentiate those with PD from
those without, to detect disease progression, to assess response to current medications, and to produce novel
insights into PD that cannot be ascertained currently from in-clinic measurements.
Beyond the work of the UR-Udall Center, the Advanced Analytics Research Core will be a resource for the
Udall Center network and will also attract, develop, and mentor biostatistical and computational science talent
for the greater PD community.

## Key facts

- **NIH application ID:** 10242054
- **Project number:** 5P50NS108676-04
- **Recipient organization:** UNIVERSITY OF ROCHESTER
- **Principal Investigator:** Michael P McDermott
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $303,684
- **Award type:** 5
- **Project period:** 2018-09-30 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10242054

## Citation

> US National Institutes of Health, RePORTER application 10242054, The Advanced Analytics Research Core will support all four Research Projects at the University of Rochester Udall Center (5P50NS108676-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10242054. Licensed CC0.

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