# Topic 412: Wearable Health Informatics Platform for Extensible Research (WHISPER) Phase I

> **NIH NIH N43** · CHARLES RIVER ANALYTICS, INC. · 2020 · $399,951

## Abstract

There is an increasing trend toward out-of-clinic research and patient assessment using
passive, continuously measured data streams to measure cancer and symptom progression
directly and indirectly. This trend has begun incorporating a growing number of
wearables beyond fitness trackers, which can provide easy to use measures that are
clinically useful. However progress in data acquisition must be accompanied by scalable
informatics tools that allow for data aggregation and integration across devices and
manufacturers, Population-based statistics will rely on multiple devices to measure
context and physiology (e.g., exercise, glucose monitoring, sleep tracking), but
integrating them is non-trivial. We propose a wearable informatics tool that satisfies the
following technical goals: 1) Ingestion and integration of data acquired from multiple
devices and across individuals; 2) Secure, privacy, and HIPAA compliant data
transmission, storage, and retrieval; (3) informatics tools for querying, analyzing, and
visualizing patient data. Our wearable informatics platform aims to facilitate large scale
population studies using wearable technology to promote cancer research and improve
health outcomes in cancer populations.

## Key facts

- **NIH application ID:** 10265727
- **Project number:** 75N91020C00041-0-9999-1
- **Recipient organization:** CHARLES RIVER ANALYTICS, INC.
- **Principal Investigator:** Aaron Winder
- **Activity code:** N43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $399,951
- **Award type:** —
- **Project period:** 2020-09-16 → 2021-06-15

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10265727

## Citation

> US National Institutes of Health, RePORTER application 10265727, Topic 412: Wearable Health Informatics Platform for Extensible Research (WHISPER) Phase I (75N91020C00041-0-9999-1). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/10265727. Licensed CC0.

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