Accurate measurement of low metabolite concentrations produced by medically important enzymes is commonly obscured by noise during magnetic resonance imaging (MRI). Measuring the turnover rate of low-level metabolites can directly quantify the activity of enzymes of interest, including possible drug targets in cancer and other diseases. Noise can cause the in vivo signal to fall below the limit of detection. A variety of denoising methods have been proposed to enhance spectroscopic peaks, but still fall short for the detection of low-intensity signals.

Gel materials, particularly hydrogels, typically lose their mechanical strength and stiffness as they swell. This property  limits their use in both biological (e.g., cartilage and ECM repair) and non-biological (e.g., sealant) applications. Innovative materials in both medical and non-medical application areas are sorely needed.

The technology relates to software, systems, and methods for automated medical image segmentation via deep learning. Standard holistically-nested networks (HNNs) used in computer vision and medical imaging for segmentation and edge detection have a problem with coarsening resolution. The described technology addresses this.
 

The AKT pathway plays a key role in the regulation of cellular survival, apoptosis, and protein translation and has been shown to have prognostic significance in a number of cancers.  Recently, the inventors have identified several functions of the AKT pathway in certain cancers, such as extrahepatic cholangiocarcinoma (EHCC).

Several viral epidemics – such as the epidemics caused by H1N1 influenza virus, human immunodeficiency virus (HIV), Ebola virus, Zika virus, severe acute respiratory syndrome (SARS) virus, Middle East respiratory syndrome (MERS) virus and SARS-CoV-2 – have profoundly impacted global human health. Early identification of infected and/or infectious persons and isolating them from the population are some of the most effective and evident measures to prevent human-to-human spreading.

The NCI Radiation Oncology Branch and the  NHLBI Laboratory of Single Molecule Biophysics seek parties to co-develop fluorescent  nanodiamonds for use as in vivo and in vitro optical tracking probes toward commercialization.  

The  National Cancer Institute (NCI) is seeking parties interested in licensing software for the automated determination of macromolecular structures using cryo-electron microscopy.

Three-dimensional (3D) cell cultures systems are important for studying cell biology because they provide in vivo-like microenvironments more physiologically relevant than two-dimensional (2D) culture systems. In 3D culture systems, cells are grown in culture matrixes and turn into spheroids and organoids later processed for downstream analysis by microscopy and histology techniques. The processing of 3D cultures for analysis by microscopy or histology is laborious and time-consuming due to incompatibility of the 3D culture vessels and the microscopy and pathology blocks.

The development of precision medicine approaches for DLBCL (Diffuse Large B Cell Lymphoma) is complicated by its genetic, phenotypic and clinical heterogeneity. Current classification methods do not fully explain the observed differences in clinical outcomes to current chemotherapy and targeted therapy. Therefore, better analytical methods to classify and predict DLBCL patients’ treatment response are needed.

This invention pertains to a system for continuous observation of rodents in home-cage environments with the specific aim to facilitate the quantification of activity levels and behavioral patterns for mice housed in a commercial ventilated cage rack.  The home-cage in-rack provides daytime and nighttime monitoring with the stability and consistency of a home cage environment.