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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. Bioelectronic Fusion Sensor System

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N14AT019

    To address the Navy"s need for a common, scalable, platform for multi-modal 1pA level current sensing for Electrocardiogram (ECG), Electroencephalogram (EEG), and Electrodermal Response (EDR) to be fielded as a miniature wearable device with non-contact electrodes, Sentient and the State University of New York (SUNY) propose to develop the Bioelectronic Fusion Sensor System (BioFuSenS) that will a ...

    STTR Phase I 2014 Department of DefenseNavy
  2. Coils for Human Whole Body Imaging at 7T

    SBC: LIFE SERVICES L.L.C.            Topic: NIBIB

    DESCRIPTION provided by applicant For this Phase II STTR proposal the investigators plan to develop and commercialize the radiofrequency RF coil technology to make T body MRI possible and to translate this new technology to vastly improve T clinical MRI as well In the Phase I project leading to this proposal all specific aims were accomplished to demonstrate the feasibility of safely an ...

    STTR Phase II 2014 Department of Health and Human ServicesNational Institutes of Health
  3. Decision Making under Uncertainty for Dynamic Spectrum Access

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: AF13AT02

    ABSTRACT: Due to scarcity of spectrum, Dynamic Spectrum Access (DSA) becomes a needed technology to improve the utilization of electromagnetic spectrum for DoD satellite communication. However, current DSA approaches are developed for terrestrial communications without addressing the unique challenges for SATCOM environments such as error-prone spectrum sensing, high mobility, and large coverage. ...

    STTR Phase I 2014 Department of DefenseAir Force
  4. Development of a Micro-glider for Oceanographic Air-Sea Interaction Sampling

    SBC: Tusaire Incorporated            Topic: N14AT020

    Advanced effective Micro-glider development will be conceived under this Phase I effort.

    STTR Phase I 2014 Department of DefenseNavy
  5. Development of a Wearable Fluorescence Imaging Device for Intraoperative Identification of Brain Tumors

    SBC: BIOPTICS TECHNOLOGY LLC            Topic: 102

    ABSTRACTApproximatelypeople in the United States have been diagnosed with a primary brain tumorOf thesemalignant gliomasMGsaccount for approximatelyof all intracranial tumorswith an overall patient survival rate of onlyMore than any other cancerbrain cancer has lasting physicalcognitiveand psychological impacts on a patient s lifeand the highest per patient initial cost of careSurgical resection r ...

    STTR Phase I 2019 Department of Health and Human ServicesNational Institutes of Health
  6. 3D Printed Multifunctional Brain Windows for Simultaneous Optical Imaging and Electrophysiology

    SBC: Applied Universal Dynamics, Corp.            Topic: 107

    PROJECT SUMMARY This proposal responds to PAR-18-870 titled “BRAIN Initiative: Development Optimization, and Validation of Novel Tools and Technologies for Neuroscience Research (STTR).” This project is a Fast Track STTR with a phase I and phase II. The small business, Applied Universal Dynamics Corp. (AUD) is collaborating with the University of Minnesota (U of MN). The activity patterns of t ...

    STTR Phase I 2019 Department of Health and Human ServicesNational Institutes of Health
  7. Exosomal drug formulations

    SBC: 3P BIOTECHNOLOGIES, INC.            Topic: NCI

    DESCRIPTION (provided by applicant): More people in the U.S. (160,340 per year) die of lung cancer than of prostate, breast, and colon cancer combined. The most common type of lung cancer, non-small-cell lung cancer (NSCLC), accounts for 75% of all lung cancers. Regrettably, 85% of all patients diagnosed with NSCLC eventually die of the disease within 5 years, due to micro-metastasis and relapse. ...

    STTR Phase I 2014 Department of Health and Human ServicesNational Institutes of Health
  8. Hand Rehabilitation using Variable Assistance through Force and EMG Feedback

    SBC: Koronis Biomedical Technologies Corp.            Topic: NIA

    DESCRIPTION (provided by applicant): This project proposes to develop and evaluate a hand rehabilitation system for chronic hemiparetic stroke survivors that have lost their ability to full control their hand. Stroke is the leading cause of adult disability, and is the third leading cause of death in the United States. Stroke survivors often face a significant loss of functional motor control in ...

    STTR Phase I 2014 Department of Health and Human ServicesNational Institutes of Health
  9. Harvesting specific plant metabolites from hairy root cultures using magnetized n

    SBC: NAPROGENIX, INC.            Topic: NCCIH

    DESCRIPTION: Plants produce a wide variety of valuable bioactive metabolites, but these are commonly present in low concentrations in the wild-type plant. This makes the separation and purification of these compounds complicated and expensive. The applicant company, Naprogenix Inc, has developed a technology for increasing the yields of specific bioactive metabolites in mutant plant cell cultures ...

    STTR Phase I 2014 Department of Health and Human ServicesNational Institutes of Health
  10. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
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