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Award Data
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.
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Bio-mathematical Models of Aggregated Tissues & Organ Properties
SBC: Corvid Innovation LLC Topic: DHP16A001Realistic surgical simulation requires a combination of representative tissue geometry, accurate tissue material properties and lifelike tool-tissue interaction forces. Recent advances in computational power and imaging modalities have provided the capability to represent the anatomical details required for surgical training; however, the mathematical models which govern the underlying tissue pro ...
STTR Phase I 2016 Department of DefenseDefense Health Agency -
High Fidelity Computational Models for Aggregated Tissue Interaction in Surgical Simulations
SBC: CFD RESEARCH CORPORATION Topic: DHP16A001Surgical 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 -
Bio-Mathematical Models of Aggregated Tissues & Organ Properties
SBC: BIOMOJO LLC Topic: DHP16A001BioMojo LLC and the Departments of Mathematics and Biomedical Engineering at the University of North Carolina Chapel Hill, will develop a preliminary bio mathematical model framework to represent how human tissues interact and behave at their boundaries. Tissue interaction properties (e.g. tensile, shear, friction, and so forth) of connective, epithelial, muscular, and nervous tissue including su ...
STTR Phase I 2016 Department of DefenseDefense Health Agency -
Oxygen Production and Delivery on Demand
SBC: GLOBAL RESEARCH & DEVELOPMENT INC Topic: DHA17B005This proposal is in response to the Defense Health Agency 2017 Phase I SBIR topic 17B-005.The approach is the use of a membrane oxygen pump using newly developed nano-thickness membranes with all the layers less than 1 micron total.Nanometer thickness membranes enable more oxygen output per surface area at temperatures of 300-600 C than current state-of-the -art 600-800 C membranes that are 50-300 ...
STTR Phase I 2018 Department of DefenseDefense Health Agency -
Rapid SERS-based Detection of Sepsis and TBI Biomarkers
SBC: Ionica Sciences, Inc Topic: DHA17B004Traumatic brain injury (TBI) often occurs when a sudden trauma or head injury disrupts the function of the brain. Common causes of TBI include damage caused by explosive devices, falls and vehicle or motorcycle accidents. Sepsis is the result of a massive immune response to bacterial infection that gets into the blood. Sepsis often leads to organ failure or injury, and has always been a significan ...
STTR Phase I 2018 Department of DefenseDefense Health Agency -
Inhibiting Prolyl Hydroxylase to Mimic Natural Acclimatization to High Altitude to Improve Warfighter Performance at High Altitude
SBC: Research Logistics Company Topic: SOCOM17C001Acclimatization is the long-term adjustment that humans experience when exposed for weeks or months to high altitude. Acclimatization is important in this context because a warfighter who is acclimatized to high altitude is immune to high altitude illness, has superior work capacity, and has cognitive function approaching that found at sea level. In other words, the acclimatized warfighter is opti ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
System for Nighttime and Low-Light Face Recognition
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: SOCOM18A001The objective of this proposal is to develop instrumentation and algorithms for acquiring facial features for facial recognition in low- and no-light conditions.We will use cross-spectrum matching by exploiting infrared polarimetric imagery which tends to show features that match more closely visible imagery than conventional infrared.In addition to thermal infrared, we will also test subjects in ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.
SBC: SENVOL LLC Topic: DLA18A001The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...
STTR Phase I 2018 Department of DefenseDefense Logistics Agency -
Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.
SBC: ARCTOS Technology Solutions, LLC Topic: DLA18A001Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...
STTR Phase I 2018 Department of DefenseDefense Logistics Agency -
Explainable Query Refinement for Human Machine Teaming
SBC: KITWARE INC Topic: SOCOM18B001The Intelligence, Surveillance and Reconnaissance (ISR) analysts have a challenging task to extract useful information from huge volumes of data from various sources like Full Motion Video (FMV), Wide Area Motion Imagery (WAMI), satellite imagery, Synthetic Aperture Radar (SAR), and others. Modern Machine Learning (ML) algorithms based on deep learning have greatly advanced computer vision, speech ...
STTR Phase I 2019 Department of DefenseSpecial Operations Command