Browse Technologies

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Vanderbilt researchers have developed the MyDay mobile app (iOS/Android) designed to collect, integrate, and provide feedback on a wide range of individual data relevant for diabetes self-management which allows flexible creation of data collection content, format, and timing.

A research team at Vanderbilt University Mass Spectrometry Research Center has developed the Molecular Image Fusion software system, that by fusing spatial correspondence between histology and imaging mass spectrometry (IMS) measurements and cross-modality modeling, can predict ion distributions in tissue at spatial resolutions that exceed their acquisition resolution. The prediction resolution can even exceed the highest spatial resolution at which IMS can be physically measured. This software has been successfully tested on different IMS datasets and can be extended to other imaging modalities like MRI, PET, CT, profilometry, ion mobility spectroscopy, and different forms of microscopy.

A new approach for obtaining less invasive optical measurements of the cervix has been developed that does not require the use of a speculum exam. This technology can visualize the cervix in vivo to find unique biomarkers that indicate various conditions such as preterm labor, cancer, human papillomavirus (HPV), and dysplasia.

The standard for kidney stone detection is through the use of computed tomography (CT). However, CT is expensive and delivers harmful ionizing radiation into the body. Ultrasound would be the ideal way to detect kidney stones except that it performs poorly in detecting and accurately sizing stones. Vanderbilt researchers inventors have developed a technique that is able to separate hard, mineralized material (i.e kidney stones) from soft tissue in a way that is both cheaper and safer than CT and performs better than conventional ultrasound imaging.