Method and System of Building Hospital-Scale Medical Image Database

Developing computer systems that can recognize and locate image features associated with disease is a challenge for developing fully-automated and high precision computer assisted diagnostics. Joint learning of language tasks in association with vision tasks (association of image features with text annotation) adds an additional level of challenge.  Furthermore, scaling-up approaches from small to large datasets presents additional issues, particularly related to medical images.

Optical Microscope Software for Breast Cancer Diagnosis

The successful treatment of cancer is correlated with the early detection of the cancerous cells. Conventional cancer diagnosis is largely based on qualitative morphological criteria, but more accurate quantitative tests could greatly increase early detection of malignant cells. It has been observed that the spatial arrangement of DNA in the nucleus is altered in cancer cells in comparison to normal cells. Therefore, it is possible to distinguish malignant cells by mapping the position of labeled marker genes in the nucleus.

Virus Microneutralization Assay Data Analysis for Vaccine Development, Enhancement and Efficacy Improvement

This CDC generated invention entails improved methods of analyzing microneutralization assays, especially for the purposes of determining specific antibody concentrations and optimizing vaccine formulation. More specifically, the invention is a set of SAS based programs using 4-parameter logistic curve fitting algorithms to interpolate between individual data points, allowing for enhanced accuracy and precision when establishing neutralization titers.

Therapeutic, Bifunctional Janus Microparticles with Spatially Segregated Surface Proteins and Methods of Production

CDC researchers have developed a fabrication process to create bifunctional microparticles displaying two distinct proteins that are spatially segregated onto a single hemispheric surface. At present, there is no described way of producing biological microparticles with two distinct types of separated proteins. Bifunctional Janus particles generated by the CDC approach possess biologically relevant, native conformation proteins attached to a biologically unreactive and safe substrate.

Fluorescent Nanodiamonds as Fiducial Markers for Microscopy

The invention relates to fluorescent nanodiamonds (FNDs) and their uses as fiducial markers for microscopy. FNDs are bright fluorescent probes that do not blink or bleach and have broad fluorescence excitation and emission peaks. The fluorescence intensity can be readily controlled by the size of the FND, the number of fluorescent centers produced in the nanodiamonds, or in situ through the application of a weak magnetic field.

Autodock Vina Software Process for Efficient Large-Scale Cognate Ligand Screening

The invention pertains to software processes, additions, and docking approaches to Autodock Vina that speeds the rate and efficiency of analyzing ligand interactions with a receptor by cognate ligands and rewards conformations in the scoring algorithm for residue interactions that are based on the biological data. The score is multiplied by a weighting factor to control the degree of ligand-residue interactions that are considered. This multiplier is then added to the docking score for confirmation.

Isotropic Generalized Diffusion Tensor MRI

Scientists at the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD) have developed a method implemented as pulse sequences and software to be used with magnetic resonance imaging (MRI) scanners and systems. This technology is available for licensing and commercial development. The method allows for measuring and mapping features of the bulk or average apparent diffusion coefficient (ADC) of water in tissue – aiding in stroke diagnosis and cancer therapy assessment.

Methods of Predicting Patient Treatment Response and Resistance via Single-Cell Transcriptomics of Their Tumors

Tailoring the best treatments to cancer patients remains a highly important endeavor in the oncology field. However, personalized treatment courses are challenging to determine, and technologies or methods that can successfully be employed for precision oncology are lacking.

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.

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