Award Data

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

Current strategies for the treatment of osteochondral injuries are ineffective and are associated with significant side effects. Microfracture techniques have demonstrated limited efficacy over long periods of time and are less effective for larger osteochondral defects. Osteochondral autograft transplants require harvesting from a donor site, which can lead to donor site morbidity. Further, while ...

Research has identified that handoffs are particularly important communication processes, during which communication error can lead to patient safety situations. Organizations have created standard practices and training materials to encourage teamwork communication for handoffs, however these do not necessarily capture the needs of military medicine of combat casualty care. Combat casualty handof ...

Combat casualty handoffs are critical communication moments during which responsibility for the patient and important casualty information is transferred between providers. The nature of these handoffs requires specialized training, for which no standardized framework currently exists. The proposed effort aims to develop a capability, compatible with current DoD systems, that provides caregivers w ...

The published data has demonstrated that the currently available resuscitation fluids have detrimental effects on trauma outcomes.By addressing these deficiencies it is expected that the outcomes will improve. The crystalloid based resuscitation fluid in development by GanD Inc. has been designed to address all of the shortcomings of the currently available solutions.The solution, GND-001, is a cr ...

Deep Learning Analytics (DLA) will develop the Deep-False Alarm Suppression Technique (D-FAST) algorithm that uses state of the art and

The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...

Joint reduction is a key skill and is a core competency for orthopedic surgeons deploying as part of a trauma team.Current training options are limited to classroom instruction on uninjured persons due to lack of a suitable training simulator. The first true reduction performed by medical providers is on actual patients. This method of instruction prevents the trainee from developing the comfort a ...

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 ...

Fabrico Technology, Dr. Sanchita Bhadra and Professor Andrew Ellington of the University of Texas at Austin, have successfully demonstrated the proof-of-concept of an unparalleled, first-in-class in-field nucleic acid diagnostic platform for distinction of viable from non-viable E. coli and coliforms in