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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
Medical Electro-Textile Sensor SimulationSBC: LR TECHNOLOGIES, Inc. Topic: DHP17A001
In this topic, we plan to design a vital EMF sensor to work under any conditions. The sensor will be integrated with smart clothing and using e-textile materials.STTR Phase II 2018 Department of DefenseDefense Health Agency
Principled Design of an Augmented Reality Trainer for MedicsSBC: 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
Dynamic virtual moulage based on thin film adhesive displaysSBC: ARCHIE MD INC. Topic: DHA17A002
Providing Army combat medics with meaningful experience in treatment of battlefield injuries is a particular challenge. Moulage has the potential to assist in acquiring what could otherwise be very hard-to-come-by preparatory experience for distressing real-life emergencies medics and soldiers may encounter in the field. However, current approaches to moulage are limited in their ability to reflec ...STTR Phase II 2018 Department of DefenseDefense Health Agency
Medical Device to Assess the Viability of Tissue Prior to Skin GraftingSBC: 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
Oxygen Production and Delivery on DemandSBC: GLOBAL RESEARCH & DEVELOPMENT INC Topic: DHA17B005
This 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
Fast Parameter Identification for Personalized PharmacokineticsSBC: AUTONOMOUS HEALTHCARE INC Topic: DHP17B003
Drug dosingcan bemademore precise by using pharmacokineticand pharmacodynamicmodeling. Pharmacokinetics is thestudy of the concentration of drugs in tissueasafunction of timeand doseschedule,whereas pharmacodynamics is thestudy of therelationship between drugconcentration and drugeffect. By relating doseto resultant drugconcentration (pharmacokinetics)and concentration to effect (pharmacodynamics) ...STTR Phase I 2018 Department of DefenseDefense Health Agency
Brain Targeting Nanoparticle for Drug Delivery in Traumatic Brain InjurySBC: WEINBERG MEDICAL PHYSICS, INC. Topic: DHA18A001
There is an urgent need to bypass or cross the blood brain barrier (BBB) to deliver drugs for TBI treatment. This project aims to develop targted intranasally delivered, magnetically propulsed, and targted nanoparticles for traumatic brain injury (TBI). In Phase I, we will demonstrate the design, fabrication, and in vitro characterization of proposed drug laden magnetic nanoparticles as well as co ...STTR Phase I 2018 Department of DefenseDefense Health Agency
Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.SBC: X-Wave Innovations, Inc. Topic: DLA18A001
Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...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: DLA18A001
Universal 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