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This technology includes a model for providing a patient-specific diagnosis of disease using clinical data. Specifically, the present invention relates to a fully unsupervised, machine-learned, cross-validated, and dynamic Bayesian Belief Network model that utilizes clinical parameters for determining a patient-specific probability of transplant glomerulopathy. Kidney failure is a growing problem worldwide, in part related to the increase incidence of diabetes and hypertension. Renal replacement therapy includes dialysis or renal transplantation.

This technology includes a system for automatic artifact-free measurement and visualization of tissue strain by MRI at native resolution. The investigation of regional soft tissue mechanical strain can serve as a unique indicator for different related disorders. For example, measurement of myocardial tissue during contraction can help calculate, track, and assess cardiac stress. Currently, methods such as tagging MRI (tMRI) are used for imaging soft tissue deformation. Despite being well validated, methods such as tMRI suffer from low spatial and temporal resolution.

Local inflammation processes are crucially important in the host defense against pathogens and for successful immunization because proinflammatory cytokines are necessary for initiation and propagation of an immune response. However, normal inflammatory responses are eventually terminated by physiological termination mechanisms, thereby limiting the strength and duration of immune responses, especially to weak antigens. The inventors have shown that adenosine A2a and A3a receptors play a critical role in down-regulation of inflammation in vivo.

Homocystinuria (HCU), a group of inherited disorders, causes symptoms ranging from failure to thrive and developmental delays in infants or young children to abnormal blood clots with onset in adults.1 Approximately 1 in 200,000 to 335,000 people have HCU globally.2

This technology includes a versatile intravascular 3D intracardiac echocardiography (ICE) catheter that can operate under conventional X-ray and MRI for use during interventional cardiac procedures. The 3D MRICE and custom, GPU-based, real-time imaging system are also included. Structural heart disease affects more than 2.9% of the US population, and common interventional procedures can be difficult because of limitations in catheter devices and inadequate image guidance.

This technology includes a new technique to improve the fidelity of time-varying signals acquired in the dynamic contrast enhanced (DCE) imaging. This technique enhances the time-varying signals in a given DCE image series through deep convolutional neural networks (CNN) to learn the relationship of signal versus contrast concentration from other series of different contrast doses.

This technology includes a technique to improves detection of myocardial scar compared with conventional bright-blood late gadolinium enhancement (LGE) techniques. Dark-blood late gadolinium enhancement (DB-LGE) improves tissue delineation with signal suppression of the blood pool based on T2-preparation pulse that is relatively independent from the blood flow velocities and improves scar detection in patients with known or suspected coronary artery disease.

The invention provides identification methods for agents which inhibit the Jak-STAT signaling transduction pathway. Drugs identified by these methods are candidates for the treatment of proliferative disorders dependent on the Jak-STAT pathway, including those caused by HTLV-1. In addition, such agents may be potent immunosuppressive drugs with potential applications not only for organ transplantation but also for treatment of autoimmune diseases.

This invention is based on the discovery of the swine hepatitis E virus (swine HEV), the first animal strain of HEV identified and characterized, and its ability to infect across species. The inventors have found that the swine HEV is widespread in the general pig population in the United States and other countries and that swine HEV can infect non-human primates. The inventors have amplified and sequenced the complete genome of swine HEV. The capsid gene (ORF2) of swine HEV has been cloned and expressed in a baculovirus expression system.

The claimed invention provides highly specific and sensitive methods for in vivo, in vitro, or ex vivo imaging of specific extracellular protease activity using an anthrax binary toxin system. The system targets cells that express extracellular proteases of interest. Such a system would be highly useful since various studies have demonstrated a positive correlation between the activity of extracellular proteases and various diseases and undesirable physiological conditions.