Award Data

Project Summary/Abstract: Clinical Decision Support System to Optimize Neonatal Nutrition and Growth Nutrition, defined as energy, macronutrients (protein, fat, and carbohydrates), and micronutrients (e.g., electrolytes), is a critical feature of care for preterm infants in the neonatal intensive unit (NICU). Inadequate nutrition is associated with growth and neurodevelopmental impairment, and inc ...

Project Summary/Abstract Lyme disease (LD) is the most common vector-borne illness in the United States and represents a considerable diagnostic challenge. 1-3 The current benchmark for LD diagnosis is the standard two-tiered test (STTT), although the modified two-tier test (MTTT) is rapidly becoming an acceptable alternative. 6 These assays are highly specific but have poor sensitivity, especiall ...

ABSTRACTLyme disease, the most common vector-borne illness in North America, is caused by the spirochete B. burgdorferi. Infection begins in the skin following an infected tick-bite and acute illness is characterized by headache, fever and myalgia. Currently, there is no human vaccine against Lyme disease and therapeutic administration of antibiotics remains the recommended treatment option. In th ...

The United States is experiencing a public health crisis on a massive scale due to the number of people with dementia, lack of cures, and challenges associated with caregiving for this population.1,2 Until cures for the dementias are discovered, new technologies and interventions are imperative that can reduce the stress and emotional burden of Alzheimerandapos;s disease (AD) and Alzheimerandapos; ...

Abstract There is a significant need for new treatments for opioid use disorder (OUD) to manage patients abusing heroin, fentanyl, oxycodone and related drugs. Buprenorphine and methadone are both effective medications for OUD but are agonists with potential for abuse and diversion, and with methadone the risk of respiratory depression and overdose death. Moreover, these compounds are not effectiv ...

Deep Convolutional Neural Networks (DCNNs) have become ubiquitous in the analysis of large datasets with geometric symmetries. These datasets are common in medicine, science, intelligence, autonomous driving and industry. While analysis based on DCNNs have proven powerful, uncertainty estimation for such analyses has required sophisticated empirical studies. This has negatively impacted the effect ...

Project Summary This proposed Phase I/Phase II FastTrack STTR project is intended to lead to the demonstration of a breathalyzer instrument capable of detecting and quantitatively measuring drugs (i.e. cannabinoids and opioids) in exhaled breath (EB). Prior work on the detection of these drugs in EB by means of liquid chromatography and mass spectrometry (LC/MS) demonstrated that these compounds c ...

Project Summary/Abstract The current standard of care for skin cancer diagnosis, biopsy, is invasive, slow, and burdensome in cost. Skin cancer is the most commonly diagnosed cancer in the US. Biopsy of suspicious skin lesion is the key step of skin cancer diagnosis. 15-20 million skin biopsies are performed in the US annually. Once biopsied tissue is removed from a patient, the biopsy specimen is ...

Project Summary The objective of this STTR proposal is to develop a system for longitudinally tracking the locations and morphologic changes to all Pigmented Skin Lesions on the patient’s body. The proposed software will build on a previously developed Total Body Photography (TBP) system, called Lumo Scanner, that can provide unprecedented resolution across the entire body surface. Skin cancers, ...

PROJECT SUMMARYDosing of chemotherapeutics is limited by systemic toxic side effects. We are developing a new class of image- guided temporarily deployable, endovascular catheter-based medical devices that selectively remove specific drugs from the blood stream to reduce systemic toxicities. The proposed ChemoFilters incorporate specialized materials that bind target drugs in situ through a variet ...