# ADVANCING EQUITY AND DIVERSITY IN BREAST CANCER SCREENING: CREATING A FOUNDATIONAL DATASET AND TOOLSET.

> **NIH NIH N43** · GRADIENT HEALTH INC · 2024 · $388,108

## Abstract

Physiological characteristics relevant to breast screening, including breast density and tumor markers, exhibit statistically significant variations across different racial and ethnic groups. However, the current unavailability of this metadata in mammogram screening datasets poses a significant challenge. This gap can impair the performance of AI algorithms, which often struggle with out-of-distribution training data. Our goal for this project is to create a comprehensive and longitudinally linkable breast cancer screening reference dataset encompassing race/ethnicity demographics, pathology and genotyping reports, and multimodal imaging follow-ups. Such a reference dataset enables software-as-a-medical-device manufacturers to better train and evaluate their breast cancer screening algorithms.

## Key facts

- **NIH application ID:** 11215669
- **Project number:** 75N91024C00061-0-9999-1
- **Recipient organization:** GRADIENT HEALTH INC
- **Principal Investigator:** Ouwen Huang
- **Activity code:** N43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $388,108
- **Award type:** —
- **Project period:** 2024-09-16 → 2025-09-15

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11215669

## Citation

> US National Institutes of Health, RePORTER application 11215669, ADVANCING EQUITY AND DIVERSITY IN BREAST CANCER SCREENING: CREATING A FOUNDATIONAL DATASET AND TOOLSET. (75N91024C00061-0-9999-1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/11215669. Licensed CC0.

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