You are here
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
Development of device to enable the assessment of burn severity by artificial intelligence in the militaryâs echelon III care environmentSBC: Spectral Md, Inc. Topic: DHA17A006
Burns are a common and severe combat injury that require highly trained clinicians to diagnose and treat, especially for those severe burns that need an immediate excision. However, lack of burn experts in the far-forward military hospital and the challenge of accurate burn assessment presents a high risk for unnecessary transport of casualties. Thus, there is a critical need for a device to aid r ...STTR Phase II 2021 Department of DefenseDefense Health Agency
SBC: Intelligent Automation, Inc. Topic: DTRA19B002
Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large number of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency
SBC: NANOHMICS INC Topic: DHA17A004
Different regions of the human GI tract exhibit different chemical environments and different digestion metabolites. As a result, these regions support different microorganisms, with gradients in metabolic products along the length of the GI tract. Single-point measurements of microbiome metabolites (e.g. in feces) are insufficient to provide detailed information of physiological status because th ...STTR Phase II 2021 Department of DefenseDefense Health Agency