Bacterial infections not only cause disease by their presence but also upon the release of toxins. The common enteric bacteria, E. coli O157:H7 releases such toxins (Stx-1) upon treatment with antibiotics. These toxins, when released into the lumen of the intestinal tract, will cause cellular damage thus increasing the severity of the infection.
Proviral Integration for the Moloney murine leukemia virus (PIM) kinases are overexpressed in many solid cancers – including prostate, breast, colon, endometrial, gastric and pancreatic. High of PIM1 expression is predictive of poor survival in multiple cancer types. While several selective pan-PIM inhibitors were developed and tested in clinical trials, all ultimately increased PIM1-3 protein levels and developed intrinsic resistance.
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.
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.