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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Principled Design of an Augmented Reality Trainer for Medics

    SBC: UNVEIL LLC            Topic: DHP17A003

    Augmented reality (AR) offers the ability to enhance existing combat medic training by including perceptual cues and adaptive training elements to traditional simulation-based training using manikins. Unveil has developed a training system called the Macrocognitive AR Trainer (MART). MART is designed to foster the development of macrocognitive skills (e.g., sensemaking, assessment skills, mental m ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  2. Medical Device to Assess the Viability of Tissue Prior to Skin Grafting

    SBC: Spectral Md, Inc.            Topic: DHP17A006

    The primary objective of this Phase II proposal is to construct and validate the portable SpectralMD DeepView imaging technology designed previously in Phase I. This device allows surgeons to quickly and objectively assess tissue viability in burn surgery prior to skin grafting. DeepView uses machine learning and multispectral imaging to generate quantitative prognostic images with easily interpre ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  3. Developing Software for Pharmacodynamics and Bioassay Studies

    SBC: TConneX Inc.            Topic: DHP16C001

    Thegoal is to develop asoftwaretool that implementsa novelapproach applicableto fitgeneral pharmacologic, toxicology, or other biomedical data, that mayexhibita non-monotonic dose-responserelationship for which thecurrent parametricmodels fail. Thesoftwareexplores dose-responserelationships using both monotonicand non-monotonicmodels,and estimates theassociated doseresponsecurves,which can further ...

    STTR Phase II 2019 Department of DefenseDefense Health Agency
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