A Mouse Model for Systemic Inflammation in Glucocerebrosidase-Deficient Mice with Minimal Glucosylceramide Storage
A Mouse Model for Type 2 Diabetes
Regulation of RNA Stability
Full-Length cDNA Clone Representing the Consensus Sequence of the RNA Genome of a Human Norovirus (strain MD145-12) That Encodes Biologically Active Proteins
Contrast Agent Enhancement of Chemical Exchange Dependent Saturation Transfer (CEDST) MRI
Examples of contrast agents suitable for administration as exogenous contrast agents include at least one functional group bearing a proton capable of chemical exchange. Examples of these functional groups include, without limitation, amides, amines, and carboxyl, hydroxyl, and sulfhydryl groups.
Replicating RNA Vaccine For Crimean-Congo Hemorrhagic Fever Virus
Crimean-Congo hemorrhagic fever (CCHF) is a deadly hemorrhagic fever having a high mortality rate. The disease results from infection of an individual by Crimean-Congo hemorrhagic fever virus (CCHFV), which is a tick-borne bunyavirus endemic in Southern and Eastern Europe, Africa, the Middle East, and Asia. Geographically, case distribution is consistent with the range of Hyalomma genus ticks, the main reservoir of CCHFV, and is likely to expand due to climate change. Humans may be infected from tick bites, through contact with infected animals or animal tissue.
DeePlexing – Extending Imaging Multiplexity Using Machine Learning
Spatial proteomics and transcriptomics are fast-emerging fields with the potential to revolutionize various branches of biology. In the last five years, various multiplex immunofluorescence and immunohistochemistry imaging methods have been developed to stain 5-60 different protein markers in a given tissue. Nonetheless, most of these techniques are iterative and can image a maximum of 3-8 markers in a single cycle, resulting in processing time of several hours to days.
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.
Treatment of the beta-globinopathies through inhibition of RIOK3 activity
Disorders of adult beta-globin synthesis, which include sickle cell disease (SCD) and beta-thalassemia, are the most common monogenic disorders in the world. While the curative potential of bone marrow transplantation has been demonstrated, this approach is limited to a small fraction of affected patients due to the requirement for an HLA-matched donor, the highly specialized approach that requires critical infrastructure, and the high cost.