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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. Anatomic 3D Synthetic Tissue Printer for Medical Training

    SBC: SERAPH ROBOTICS, INC.            Topic: DHP12003

    Military medical personnel are not prepared to provide trauma care to severely injured soldiers in wartime due to inadequate and unrealistic battlefield training opportunities during peacetime. Training has historically been done on human cadavers and live animals, but cadavers are in limited supply, and animal rights groups and physicians are increasing pressure to end the practice of using live ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  2. Prototype, Open-Source, Universal Healthcare Exchange Language

    SBC: SYSNET International, Inc.            Topic: DHP12004

    Use of information technology within the U.S. healthcare system has made considerable strides forward in the past few years but to fully realize the full benefits of an Electronic Health Record - including higher quality and safety of care through access to the patient"s complete health record at the point of care, increased participation by patients in their healthcare through access to a shared ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  3. Learning the Language of Healthcare: Enabling Semantic Web Technology in CHCS

    SBC: KITWARE INC            Topic: DHP12004

    The goal of this project is to implement a Universal Exchange Language suitable for nationwide adoption across healthcare providers, and accessible to patients and medical researchers under appropriate protections for security and privacy, as envisioned in the 2010 PCAST report on Health Information Technology. The team combines unique expertise on (a) the design and implementation of data managem ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  4. Cloud-Based Predictive Analytics for TBI/PTSD

    SBC: VCRSOFT LLC            Topic: DHP12005

    Existing clinical decision support systems (CDSS) for TBI/PTSD are not well integrated with clinical pathways, terminologies/codes, and/or electronic medical records. Further, these CDSS do not leverage the latest computing technologies such as cloud computing, speech recognition, mobile computing and NLP. In particular, latest advances in machine learning / predictive analytics are not utilized. ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  5. Cohort Development and Analysis Toolkit (CDAT)

    SBC: KNOWLEDGE BASED SYSTEMS INC            Topic: DHP12006

    We propose to design and develop a Cohort Development and Analysis Toolkit (CDAT) that will assist clinicians, practice administrators and public health professionals in comparing the effectiveness of different clinical practices, including preventive and treatment modalities. The overall goal of CDAT is to facilitate comparative effectiveness research and evidence-based practice without the nece ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  6. Novel Sampling Device for the Surveillance of Adult Flying Insect Vectors

    SBC: McQ Inc.            Topic: DHP12007

    The Army Defense Health Program has a need for a novel freestanding device to sample and collect a broad spectrum of adult flying insects for the purpose of analyzing possible disease vectors. McQ proposes to develop a flying insect sampling device (FISDe) that utilizes a modular approach to allow the assembly of components necessary for the survey mission. This device will allow for the automat ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  7. Intelligent Automated Insect Collection System (IFICS)

    SBC: BARRON ASSOCIATES, INC.            Topic: DHP12007

    Flying insect vectors and the diseases they transmit continue to be a significant source of concern for United States service members deployed in field operations. In an effort to reduce contact between the vectors and humans, military entomologists are often required to perform surveillance to assess the prevalence of disease vectors and to evaluate the effectiveness of control measures. Survei ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  8. Self Powered Biosensors

    SBC: Archinoetics, LLC            Topic: DHP12010

    In this project we will determine the feasibility of using motion from respiration to generate power for the circuits necessary to acquire and wireless transmit heart rate and respiration rate to a nearby receiver. Power generation will be based on electromagnetic induction. Circuitry will consist of a rectifier, a power conditioner, a system on a chip (SOC) and a wireless transmitter. Each subsys ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  9. Epicutaneous Gel for Delivery of Targeted Therapeutic to Treat Peripheral Neuropathy

    SBC: LYNNTECH INC.            Topic: DHP12013

    Peripheral Neuropathy (PN) is a painful debilitating condition caused by progressive subcutaneous nerve damage due to diabetes, chemotherapy or as a result of traumatic combat injuries. Systemic or topical administration of existing therapeutics alleviates pain but does not address progressive nerve damage. High dosages requisite for therapeutic effect increase long-term toxicity risk. Lynntech ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
  10. Objective Method for Pain Detection/Diagnosis

    SBC: AUTONOMOUS HEALTHCARE INC            Topic: DHP12015

    Multiple studies have identified physiological and behavioral variables that are associated with pain intensity in critical care patients. In this phase of the research, we propose to investigate the feasibility of developing a multi-modality pain intensity detection algorithm predicated on physiological and behavioral indicators of pain as well as designing a plan to"calibrate"and validate the pa ...

    SBIR Phase I 2013 Department of DefenseDefense Health Agency
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