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Techniques for Improving Positron Emission Tomography Image Quality and Tracking Real-Time Biological Processes
SUMMARYResearchers at the University of California, Davis have developed methodologies that perform dynamic PET imaging and provide opportunities for tracing blood flow and other biological systems in real-time.BACKGROUNDPET is the most sensitive molecular imaging modality available currently for tracing biomedical processes in vivo. However, compared...
Published: 3/13/2023   |   Inventor(s): Xuezhu Zhang, Jinyl Qi, Simon Cherry, Ramsey Badawi, Guobao Wang
Keywords(s):  
Category(s): Technology Classifications > Imaging > Medical Imaging, Technology Classifications > Medical > Diagnostics, Technology Classifications > Medical > Disease: Blood and Lymphatic System, Technology Classifications > Medical > Disease: Cardiovascular and Circulatory System, Technology Classifications > Medical > Disease: Respiratory and Pulmonary System
Machine Learning Based Diagnostic for Identifying Sepsis
SUMMARYResearchers at the University of California, Davis, have developed a novel approach of identifying sepsis by employing custom machine learning models within a combination of known laboratory data.BACKGROUNDCurrent methods for detecting sepsis in patients rely on physician gestalt (which may be flawed), non-specific systemic inflammatory response...
Published: 3/13/2023   |   Inventor(s): Hooman Rashidi, Nam Tran
Keywords(s):  
Category(s): Technology Classifications > Medical > Diagnostics
Motor Drive Unit for Combined Optical Coherence Tomography and Fluorescence Lifetime Imaging of Intraluminal Structures
SUMMARYResearchers at the University of California, Davis have designed a motor drive unit that enables combined fluorescence lifetime imaging and optical coherence tomography of luminal structures.BACKGROUNDAn Intraluminal Structure is the inside space of a tubular structure, such as an artery or an intestine. Due to the ubiquity and importance of...
Published: 3/13/2023   |   Inventor(s): Julien Bec, Laura Marcu
Keywords(s):  
Category(s): Technology Classifications > Imaging > Medical Imaging, Technology Classifications > Medical > Diagnostics, Technology Classifications > Medical > Disease: Cardiovascular and Circulatory System, Technology Classifications > Medical > Disease: Digestive System