Award Data

Existing clinical decision support systems (CDSS) for TBI/PTSD are not well integrated with clinical pathways, terminologies/codes, and/or electronic medical records. Further, these CDSS do not leverage the latest computing technologies such as cloud computing, speech recognition, mobile computing and NLP. In particular, latest advances in machine learning / predictive analytics are not utilized. ...

To provide better healthcare to PTSD patients, there is a strong need to develop a powerful PTSD CDSS based on evidence-based treatment strategies, acting as an anytime virtual assistant for PTSD professionals, Primary Care Physicians (PCP) and residents. To address this critical need, Intelligent Automation, Inc., proposes to develop an innovative Virtual PTSD Clinical Assistant with Cloud Comput ...

We propose to design and develop a Cohort Development and Analysis Toolkit (CDAT) that will assist clinicians, practice administrators and public health professionals in comparing the effectiveness of different clinical practices, including preventive and treatment modalities. The overall goal of CDAT is to facilitate comparative effectiveness research and evidence-based practice without the nece ...

Rapid identification of these warfare modes, particularly Chemical Warfare Agents (CWAs), is vital to protecting U.S. armed forces personnel and their assets. Most quantitative and accurate methods for CWA identification utilize bulky and expensive equipment that require specific technical expertise for data collection and analysis. A major limitation to using existing detection equipment i ...

This proposal is to develop an adaptable and expandable simulation-based training system for teaching and training the soon-to-be-deployed medics in junctional and non-compressible hemorrhage control and other point of injury care trauma control scenarios using Combat Ready Clamp, Abdominal Aortic Tourniquet or similar devices. Training system will include: 1. A model of a torso mimicking anat ...

The most critical obstacle to the seamless exchange of healthcare information is the translation from the proprietary medical ontologies of private providers to a universal reference language (i.e., the 3M Health Data Dictionary). Stottler Henke proposes to develop a new system, called Bridge, which will directly address this challenge through three primary techniques. First, we employ a novel a ...

We propose to identify biomarkers associated with pain and design a biomarker assay that can be used by scientists to study pain in many different diseases/conditions. Two biomarker discovery strategies will be used to identify candidate biomarkers in diseases associated with chronic pain. Diseases include fibromyalgia, rheumatoid arthritis and osteoarthritis. From a literature search, we have ...

Prevention of the smuggling of radioactive material into the United States to be used by terrorists in a nuclear weapon or in a radiological dispersal device, such as in a"dirty bomb", is a key national security objective. It is desirable to have a system capable of stand-off detection to monitor and rapidly alert the presence of covert nuclear materials. Tanner proposes to develop a compact lase ...

It is challenging to detect CBRN weapons production facilities that are hidden in residential and industrial neighborhoods. Once the weapons are manufactured, they will be sealed and removed from the site of production, so developing techniques to reveal the presence of the weapons will likely be fruitless. In this project, we will develop indicators that can be applied covertly around suspect a ...

Welkin Sciences proposes to develop two run-time channel realization generators that are functionally equivalent to DTRAs ACIRF code. One is a software only implementation suitable for computer link simulations and test analysis applications. The other is a combination of software and FPGA-based firmware that can be embedded into existing and future hardware-in-the-loop (HWIL) fading channel simul ...