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Clinicians have recognized that the nature of diseases can be highly individual resulting in different patterns of onset and progression. In turn, the response of an individual to drugs is also unique and governed by a variety of factors. Pharmacokinetic models represent the movement of a drug through the body, and personalized pharmacokinetic models aim to capture the unique responses of specific ...

Traumatic brain injury is a common problem in both the military and civilian communities, but current treatment protocols are focused on managing symptoms and fail to prevent significant long-term repercussions. In the proposed program, Luna will demonstrate the feasibility of a liposome-based therapeutic delivery system capable of delivering hydrophilic and hydrophobic therapeutics to the traumat ...

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 ...

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

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 ...

Thegoal is to develop asoftwaretool that implementsa novelapproach applicableto fitgeneral pharmacologic, toxicology, or other biomedical data, that mayexhibita non-monotonic dose-responserelationship for which thecurrent parametricmodels fail. Thesoftwareexplores dose-responserelationships using both monotonicand non-monotonicmodels,and estimates theassociated doseresponsecurves,which can further ...

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.

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 ...

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 ...

Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he