SBIR/STTR Research Award

Program EMBARK: Responsible Gen-AI Driving Better Health Outcomes and Supporting Digital Health

Award identifier dad19a50d0d4510b5920db00df2919465d99d1c76c7b468962143090594a7fa7Awarding agency Department of Defense · Air Force

Award amount

$109,516

Program and phase

STTR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
NUORIGEN
Proposal award date
2024-05-15
Contract end date
2024-08-19
UEI
VCARNELB2LB1
Solicitation number
X24.D
Topic code
AFX24D-PTCSO1

Research abstract

NuOrigen's EMBARK platform represents a groundbreaking approach to revolutionizing the U.S. healthcare ecosystem through an innovative integration of generative artificial intelligence (GenAI), machine learning, and natural language processing (NLP) technologies. The platform is designed to serve as an open-marketplace that offers predictive algorithms, machine learning models, and GenAI libraries, along with the necessary compute resources to ensure bias-free adoption and advancement of good GAI practices. By doing so, EMBARK aims to accelerate healthcare advancements, providing scalable, proactive, and resilient solutions to a wide spectrum of diseases, thereby improving health outcomes through the support of both public and private partnerships.  EMBARK emphasizes the importance of responsible GenAI by prioritizing safety, privacy, legal compliance, and responsible AI use. The initiative is focused on fostering the development and dissemination of healthcare models and libraries to enhance the health and well-being of Americans. Its development leverages cutting-edge Gen-AI technologies, utilizing federated learning frameworks for privacy-preserving analysis across distributed healthcare datasets, and employing advanced NLP powered by generative AI models to efficiently process and interpret complex medical documentation. The platform's architecture is built on containerized microservices managed through Kubernetes, ensuring scalable orchestration. It is further enhanced with generative AI algorithms for dynamic content generation and personalized healthcare insights, while strictly adhering to data encryption, anonymization protocols, and regulatory compliance to guarantee data privacy and security.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

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Research funding history

2 SBIR/STTR records share this UEI (2024). Reported award amounts total $219,487. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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