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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. High Fidelity Computational Models for Aggregated Tissue Interaction in Surgical Simulations

    SBC: CFD Research Corporation            Topic: DHP16A001

    Surgical simulations aiming to support surgeon practices and medical education have attracted enormous research effort over the last two decades. However, the physical reality, especially on simulating aggregated tissue interaction, is still unsatisfactory. In this proposed work, an open source surgery simulation framework, SoFMIS, will be utilized and enhanced with tissue interaction models to a ...

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  2. Non-invasive Telemetric Assessment of Gut Microbiota Activity in Situ

    SBC: NANOHMICS INC            Topic: DHA17A004

    Physical, mental, and environmental stress, as well as diet and hydration have an impact on overall health, performance, and well-being of humans. These factors all affect the composition and metabolism of the microbiota in the gastrointestinal (GI) tract. The mix of microorganisms in the gut, and their metabolic transformation of food, can alter the overall health and physiology of the host. Me ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  3. Medical Device to Assess the Viability of Tissue Prior to Skin Grafting

    SBC: Spectral Md, Inc.            Topic: DHA17A006

    The primary objective of this proposal is to design and demonstrate the SpectralMD DeepView imaging technology can allow surgeons to quickly and objectively assess the viability of tissue in a burn excision site prior to skin grafting. DeepView uses machine learning algorithms to analyze data acquired by multispectral imaging to generate quantitative prognostic images with a user-friendly output t ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  4. Advanced Morphing Moulage for Medical Training (AMM-MT)

    SBC: Vcom3D, Inc.            Topic: DHA17A002

    For this Phase I SBIR proposal, Vcom3D proposes to design advanced medical moulage that accurately simulates the progression of an injury or pathology by morphing through a series of clinical states to enable learners to confirm the progression of the wound and to determine whether iatrogenic errors or pathologies occurred duing treatment. The physical morphing moulage may be applied to medical m ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
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