General-purpose Deep Learning Image Denoising Based on Magnetic Resonance Imaging Physics

This technology includes a novel method to train deep learning convolution neural network model to improve the signal-noise-ratio for the magnetic resonance (MR) imaging. The novelty lies on the fact that actual MR imaging physics information is used in the deep learning training. The resulting model achieves significant signal-to-noise ratio (SNR) improved for different acceleration factors in MR imaging. The resulting model can be used for many body anatomies (e.g., brain, heart, liver, spine, etc.) to significantly improve the SNR.

Selective A3 Adenosine Receptor Agonists for the Treatment of Chronic Neuropathic Pain and Other Conditions

This technology includes the creation and use of A3 adenosine receptor (A3AR)-selective agonists for treating chemotherapy-induced peripheral neuropathy, chronic neuropathic pain, rheumatoid arthritis, psoriasis, and other conditions. A3 receptors for adenosine are found in most cells and endogenous activation of the A3 receptors can result in apoptosis, thereby relieving the inflammation or targeting a tumor. A3AR agonists have been a promising strategy for the treatment of various diseases.

Novel Small Molecule Agonists of the Relaxin Receptor as Potential Therapy for Heart Failure and Fibrosis

The present invention is directed to novel small molecule agonists of the mammalian relaxin family receptor 1 (RXFP1), including human RXFP1. Activation of RXFP1 induces: 1) vasodilation due to up-regulation of the endothelin system; 2) extracellular matrix remodeling; 3) moderation of inflammation by reducing levels of inflammatory cytokines; and 4) angiogenesis. Small molecule agonists of RXFP1 may be useful in treating acute heart failure (AHF), scleroderma, fibrosis, other conditions associated with the biology of relaxin, and in improving reproductive health and wound healing.

Zip14-AAV Genetic MRI Reporter System for Non-Invasive Cell & Gene-Therapy Tracking

This technology includes a gene-based magnetic resonance imaging (MRI) reporter platform that harnesses adeno-associated virus (AAV) delivery of the metal transporter Zip14 to create image contrast wherever the gene is expressed. By driving Zip14 from cell-specific promoters, investigators obtain robust, long-lasting signal changes on standard clinical MRI sequences (e.g., MPRAGE and GRE), enabling real-time visualization of living cells and their gene-expression patterns.

Gene Signature for Predicting Solid Tumors Patient Prognosis

HCC is the most frequent malignant tumor in the liver and the third leading cause of cancer death worldwide.  A progressive sequence of somatic mutations and epigenetic changes of oncogenes or tumor suppressor genes are believed to cause tumor development. However, high genomic instability in tumors causes the accumulation of genomic aberrations that do not contribute to tumor progression. Therefore, it is important to distinguish between ''driver'' mutations that are functionally important and ''passenger'' mutations that do not provide a selective advantage to the tumor cells.

4-Amino-2-(piperidin-3-yl)isoindoline-1,3-diones as Anti-inflammatory Agents for Systemic Degenerative and Neurodegenerative Disorders

Summary:

The National Institute on Aging (NIA) seeks research co-development partners and/or licensees for the pre-clinical and clinical development of the compounds as anti-inflammatory therapeutics for systemic degenerative and neurodegenerative disorders.

EV-D68 Monoclonal Antibodies Isolated from Immunized Rhesus Macaques

Enterovirus D68 (EV-D68) has been linked to the widespread outbreaks of respiratory illness and acute flaccid myelitis (AFM) in the United States and Europe in 2014, 2016, and 2018. Although EV-D68 is now the most frequently encountered enterovirus (41.1% of cases), with an estimated global prevalence of 4%, there are no specific, FDA-approved therapeutic interventions targeting this virus.

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