FDNA Selected by ARPA-H to Help Families Reach a Rare Disease Diagnosis Sooner

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FDNA has been chosen by the Advanced Research Projects Agency for Health (ARPA-H) to participate in the RAPID program, aimed at improving the diagnosis of rare diseases. FDNA's technology, including Family Health Checker and Face2Gene, will help families and clinicians organise and analyse health information more efficiently, particularly benefiting those with limited access to specialists. This initiative is significant as it aims to streamline the diagnostic process and improve access to care for underrepresented communities.

EDITORIAL INSIGHT: Context, industry insight and market perspectives of this news story

FDNA’s selection for the ARPA-H RAPID programme positions the company at the centre of a high-profile federal effort to accelerate rare disease diagnosis in the United States. The contract, part of a broader government investment in AI-driven precision diagnostics, highlights ongoing public and private sector interest in using advanced technology to address persistent gaps in rare disease identification and care, particularly for families who may struggle to access specialist expertise.

For healthcare professionals and technology developers, the collaboration offers a practical demonstration of how structured digital patient data, consented sharing, and AI-assisted clinical tools can be integrated at scale. With a focus on underserved and underrepresented communities, the initiative may also serve as a model for improving equity in access to genetic and rare disease services, an issue that has drawn increased attention from policymakers and advocacy groups in recent years.

Story Ideas
Technology

AI’s Role in Revolutionising Rare Disease Diagnosis

With FDNA's selection for the RAPID program, AI technologies are positioned to transform the diagnostic process for rare diseases. This angle examines the technological advancements and the potential for AI to streamline and enhance the accuracy of early diagnostic procedures, which is a growing area of interest in healthcare innovation.

Target audience
technology and healthcare innovation outlets
Story potential
7/10
Research/data

Impact of ARPA-H’s RAPID Program on Rare Disease Research

The RAPID program aims to advance rare disease research through data collection and AI tool testing. This angle delves into how FDNA's role in the program could enhance data quality and availability, influencing future rare disease studies and potentially accelerating breakthroughs in the field.

Target audience
scientific journals, research-focused publications
Story potential
7/10
Press Release

ATLANTA, GA - August 31, 2026

FDNA, Inc. announced today that it has been selected by the Advanced Research Projects Agency for Health (ARPA-H), an agency within the U.S. Department of Health and Human Services, as a performer in the Rare Disease AI/ML for Precision Integrated Diagnostics (RAPID) program. ARPA-H awarded FDNA a contract as part of a larger investment in RAPID.

For many families, the search for a rare disease diagnosis begins long before they reach a specialist. A parent may notice developmental delays, unusual features, or unexplained symptoms, but that information often remains spread across appointments, records, photos, and family observations.

FDNA is building an AI-enabled, connected path. Family Health Checker gives parents and patients a simple digital front door to bring concerns, photos, symptoms, and health history into a structured clinical workflow. Face2Gene, FDNA’s clinician-facing platform, analyzes facial photos and other patient information to help clinicians develop a differential list of possible syndromic conditions. It is designed to support clinical review, documentation, and next steps; diagnosis remains a clinical determination, supported when appropriate by diagnostic testing.

Through RAPID, FDNA will connect these sides at national scale. The work will help families bring forward relevant information earlier, help clinicians organize and review that information more efficiently, and contribute consented, high-quality data to the RAPID Rare Disease Data Commons so new AI tools can be developed and tested across the rare disease community. The model is especially important for families who may have limited access to genetics specialists, including families in rural, low-income, and historically underrepresented communities. Parents and patients will decide whether to share their information, and the program applies privacy, security, and data governance requirements.

ARPA-H selected FDNA after an extensive technical, program, and contracting review. The selection reflects FDNA’s responsibility to connect families with clinicians, collect high-quality data with consent, and make that data useful across the RAPID program. It also builds on more than a decade of clinical use of Face2Gene, 150+ peer-reviewed publications, and FDNA’s global use by clinicians and researchers.

“Families shouldn’t need to understand the rare disease system before the system can help them,” said Erik A. Feingold, CEO and Co-Founder of FDNA.

“Family Health Checker gives parents a simple way to bring their concerns into a clinical pathway. Face2Gene gives clinicians differential support that can help them see the rare conditions to consider. RAPID will help us connect those two sides at national scale and bring more families into the right clinical pathway earlier.”

Notes to editors

About ARPA-H RAPID RAPID, Rare Disease AI/ML for Precision Integrated Diagnostics, is led by program manager Scott Gorman in ARPA-H’s Proactive Health Office. More than 10,000 rare diseases affect over 350 million people worldwide, and the diagnostic odyssey takes six years on average. RAPID is a 4.5-year program to build a large, long-term rare disease dataset and develop AI tools for clinicians, patients, and families. Its goal is to give more people access to rare disease expertise and help them reach an accurate diagnosis sooner. Learn more: https://arpa-h.gov/explore-funding/programs/rapid About FDNA FDNA, Inc., headquartered in Atlanta, develops computer vision and AI-powered phenotyping and differential decision-support technologies to help clinicians assess genetic conditions and rare diseases. Face2Gene is used by thousands of clinicians and researchers across more than 10,000 clinical sites in over 130 countries. Family Health Checker gives parents and patients a non-diagnostic way to raise developmental and health concerns and connect with appropriate care. FDNA is led by Erik A. Feingold, CEO and Co-Founder, and Moti Shniberg, Co-Founder and Chairman. Learn more: www.fdna.com This research was, in part, funded by the Advanced Research Projects Agency for Health (ARPA-H). The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the United States Government.

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