Local Positioning System for Position-Time-Condition Correlation, Data-logging and Analysis
Focused Electrostatic Collection of Aerosol Particles for Chemical Analysis by Spectroscopic Techniques
Improved Acoustic Plethysmograph System for Noninvasive Measurement of Pulmonary Function
Hearing Safety Devices: System for Monitoring Exposure to Impulse Noise
Occupational Safety: Portable Exposure Assessment System for Prevention of Musculoskeletal Injury
Methods of Predicting Patient Treatment Response and Resistance via Single-Cell Transcriptomics of Their Tumors
Tailoring the best treatments to cancer patients remains a highly important endeavor in the oncology field. However, personalized treatment courses are challenging to determine, and technologies or methods that can successfully be employed for precision oncology are lacking.
National Cancer Institute Dosimetry System for Nuclear Medicine (NCINM) Computer Program
Nuclear medicine is the second largest source of medical radiation exposure to the general population after computed tomography imaging. Imaging modalities utilizing nuclear medicine produce a more detailed view of internal structure and function and are most commonly used to diagnose diseases such as heart disease, Alzheimer’s and brain disorders. They are used to visualize tumors, abscesses due to infection or abnormalities in abdominal organs.
National Cancer Institute dosimetry system for Computed Tomography (NCICT) Computer Program
About half of the per capita dose of radiation due to medical exposures is provided by computed tomography (CT) examinations. Approximately 80 million CTs are performed annually in the United States. CT scans most commonly look for internal bleeding or clots, abscesses due to infection, tumors and internal structures. Although CT provides great patient benefit, concerns exist about potential associated risks from radiation doses – especially in pediatric patients more sensitive to radiation.
Biomarker Analysis Software for High-Throughput Diagnostic Multiplex Data
Extracellular vesicles (EVs) are lipid bilayer-enclosed particles that are released from cells. EVs may contain proteins derived from their cells of origin with the potential as diagnostic biomarkers indicating the state of the cells when released. However, due to their small size (50-1000nm), the methods currently used to phenotype EVs have limited sensitivity and scale. A need exists for development of novel technologies improving EV detection and phenotyping.