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Pyrite Shrink-Wrap Laminate As A Hydroxyl Radical Generator

The invention is a diagnostic technology, as well as a research and development tool. It is a simple, easy to operate, and effective platform for the analysis of pharmaceuticals and biological species. Specifically, this platform generates hydroxyl radicals for oxidative footprinting – a technique commonly employed in protein mapping and analysis. The platform itself is inexpenisve to fabricate, scalable, and requires nothing more than an ordinary pipet to use. In addition, it is highly amenable to scale-up, multiplexing, and automation, and so it holds promise as a high-throughput method for mapping protein structure in support of product development, validation, and regulatory approval in the protein-based therapeutics industry.

Patient-Specific Ct Scan-Based Finite Element Modeling (FEM) Of Bone

This invention is a software for calculating the maximum force a bone can support. The offered method provides an accurate assessment of how changes in a bone due to special circumstances, such as osteoporosis or a long duration space flight, might increase patient’s risk of fracture.

A Method For Determining Characteristic Planes And Axes Of Bones And Other Body Parts, And Application To Registration Of Data Sets

The invention is a method for deriving an anatomical coordinate system for a body part (especially bone) to aid in its characterization. The method relies on 3-D digital images of an anatomical object, such as CT- or MR-scans, to objectively, precisely, and reliably identify its geometry in a computationally efficient manner. The invention is a great improvement over the current practice of subjective, user-dependent manual data entry and visualization of bones and organs. The applications for well-defined anatomical coordinate systems include robotic surgeries, models for bone density studies, and construction of statistical anatomical data sets.

Markers to Identify Primary Cells from Tumor Biopsies

Researchers at UC Irvine have developed a novel immunofluorescent imaging strategy to identify cell subsets of interest, in particular cancer stem cells, endothelial progenitor cells, and other primary adherent cells from tumor biopsies.

Microfluidic System for Particle Trapping and Separation

<p>Researchers have developed a novel system and method to rapidly separate particles from liquid. This technology demonstrates lab-on-a-chip potential for particle separation and/or purification. This technology is capable of processing a wide variety of molecules, ranging from cells to smaller biomolecules such as proteins and nucleic acid. Applications of this technology include (but are not limited) use of it for particle separation and quantification for assays, cell preparation, and cell lysing and component separation.</p>

Infant Movement Diagnostics (IMD)

Researchers at UC Irvine have developed a non-invasive wireless method to measure, quantify and analyze infant movement to identify preterm infants at risk for neurological disorders such as cerebral palsy, mental retardation, autism, or intraventricular hemorrhage.

Three-Dimensional Reconstruction of Cardiac Flows Based on Multi-Planar Velocity / Multi-Plane Method for Three-Dimensional Particle Image Velocimetry

Measurement of three-dimensional (3D) flow field inside cardiac chambers has proven to be a challenging task. Researchers at UC Irvine have developed a multi-planar velocity reconstruction approach that is able to characterize 3D incompressible flows based on the reconstruction of 2D velocity fields.

Cell Identification Strategy Using Functionalized Micropallet Arrays

Cell identification is an important procedure for many applications. Current processing methods for single cell identification from a large heterogeneous population face drawbacks such as loss of cell morphology, removal of surface markers, damage to the membrane, and loss of cell viability.Therefore, an improved method for single cell identification that preserves cell viability and overcomes the previously mentioned limitations is desired. Researchers at UC Irvine have invented a method to identify and collect single adherent cells from a mixed population using an existing micropallet array platform. This allows users to identify and extract single cells from a mixed population for subsequent studies or processing.

Lateral Cavity Acoustic Transducer Based Microfluidic Switch

The ability for on-chip particle/cell manipulation is important for microfluidic applications. Researchers at UC Irvine have developed a technology that exploits the phenomenon of acoustic microstreaming to manipulate fluid flow and suspended cells/particles in a microfluidic environment.

Real-Time, Label-Free Detection of Nucleic Acid Amplification in Droplets Using Impedance Spectroscopy and using Solid-Phase Substrates

Researchers at UC Irvine have developed a technology to detect the presence of nucleic acid amplification in a droplet. This technology yields real time detection of DNA or RNA amplication in a high throughput integrated microfluidic platform.

Dielectrophoresis-Based Cell Destruction to Eliminate/Remove Unwanted Subpopulations of Cells

This invention allows for label free cell separations and cell enrichment.

Multilayer High Density Microwells

Researchers at UC Irvine have developed high density, three dimensional (3D) micro-reactors for digital biology applications. The high-density imaging arrays overcome drawbacks associated with existing high density arrays fabricated on a single surface and the more recent 3D droplet emulsion arrays.

Design and Synthesis of Fluoroalkylpyridyl Ethers as Potential Pet Radioligands for A4B2 Nicotinic Acetylcholine / Labeled A4B2 Ligands and Methods Therefor

Researchers have developed compounds to bind to α4β2 nicotinic acetylcholine receptors to evoke antagonistic effects both in vitro and in vivo environments.

Microfluidic System for Particle Trapping and Separation

Researchers have developed a novel system and method to rapidly separate particles from liquid. This technology demonstrates lab-on-a-chip potential for particle separation and/or purification. This technology is capable of processing a wide variety of molecules, ranging from cells to smaller biomolecules such as proteins and nucleic acid. Applications of this technology include (but are not limited) use of it for particle separation and quantification for assays, cell preparation, and cell lysing and component separation.

Methods of Monitoring and Manipulating the Fate of Transplanted Cells

Tumor initiation and progression into metastasis are accompanied by complex structural changes in the extracellular matrix and cellular architecture that alters the stiffness in the microenvironment of the cell.

Process for the Fabrication of Nanostrucured Arrays on Flexible Polymer Films

The technology is a process for making arrays of nanostructures on polymer films.It features a two step process for creating thin polymer films with unique optical and wetting properties that can be used for coating both planar and curved surfaces.It is possible to implement this process in a mass fabrication process over large areas.

A Neuromorphic Robot that Interacts with People Through Tactile Sensing and Bi-directional Learning

The device is an interactive neuromorphic robot, using to mimic neuro-biological architectures and learning.Properties include:a spiking neural network to control robot behavior, inexpensive parts which are easily available, and two-way learning and behavior shaping.The technology is autonomous, highly mobile, and includes on-board measurement equipment.

Small Molecules as chemotherapeutics agents for cancer treatment by restoring p53 function.

The tumor suppressor p53 normally functions to prohibit unregulated growth of cells. p53 is the most frequently mutated gene in human cancers. The most frequent p53 mutation is a missense mutation known as R175H. We have discovered 11 small molecules that interact with and stabilize R175H protein. The stabilization of R175H by these small molecules restores p53 function and can be a potential drug candidate. Currently, there are no known drug targets that specifically work on p53 mutants and our compounds will be the first to have specific targeting capacity.

Detection Of Cardiac Toxicity Using Machine Learning Algorithms

The invention is software that combines sensitive monitoring system with intelligent learning algorithm in order to evaluate the drug’s cardiac toxicity. This monitoring system is unique because it utilizes machine learning in order to detect the slightest nuances that can then be detected and then deciphered. Overall, this software will change how drugs are traditionally screened in order to prevent cardiotoxic drugs from entering the market place and ultimately save lives.

A potential biomarker for Autism Spectrum Disorders

Intracellular calcium signaling is defective in Fragile X syndrome (FXS) and tuberous sclerosis (TS) as models for Autism Spectrum Disorders (ASD), therefore, calcium signal measurement could be potentially used as a diagnostic tool for ASD.

Superhydrophobic Induced High Numerical Plastic Lenses

The application of novel manufacturing techniques, chemical modifications and alternative materials produces the next generation of lenses. These lenses are inexpensive, contain improved numerical aperture and can be easily manufactured. Overall, these improvements create new applications for miniaturized optical and optical electronic devices.

Microfluidic Tumor Tissue Dissociation Device

The microfluidic device will be able to dissociate tumor tissue obtained by a needle biopsy from solid tumors into single cells without cell damage. The resulting cells can be used for subsequent molecular analysis to determine cancer diagnosis and help guide treatment. This research tool will improve and standardize tumor sample preparation thereby advancing cancer diagnosis and treatment.

Markers To Identify Primary Cells From Tumor Biopsies

Researchers at UC Irvine have developed a novel immunofluorescent imaging strategy to identify cell subsets of interest, in particular cancer stem cells, endothelial progenitor cells, and other primary adherent cells from tumor biopsies.

New imaging agents for AB-amyloid plaques and tangles

Researchers at the University of California, Irvine have synthesized new chemical entities that selectively bind to regions in the brain that accumulate Aβ-amyloid plaques.

A Method For Calculating The Strength Of The Proximal Femur Under Loading From Impact Due To A Fall

The invention (software) relates to methods for estimating the strength of the hip (the proximal femur) for assessing osteoporosis and the risk of hip fracture. It can also be used for other applications for which the strength of the hip is important. In this context, the strength of the proximal femur is defined as the maximum force that can be applied to the femoral head before the bone will break and no longer be able to support the applied force. It has been demonstrated previously that proximal femoral strength can best be estimated by combining quantitative CT scan imaging, which provides the bone geometry and density at each point in the bone, with a structural engineering technique called finite element (FE) analysis. In essence, this numerical technique subdivides a structure into many smaller parts (finite elements) which, together, explicitly represent the complex material heterogeneity and 3-D bone geometry as a mathematical model. Force or displacement is then mathematically applied to represent a specific loading condition, e.g. single-limb stance or a particular type of fall onto the greater trochanter. When the FE model is analyzed, stress and strain throughout the bone structure are computed. This information is used in conjunction with material failure criteria in various ways to estimate the strength of the proximal femur under the particular loading condition. Collectively, this technique is called, “subject-specific CT scan-based finite element modeling for calculation of proximal femoral strength." This invention disclosure pertains to a specific improvement to techniques for patient-specific FE modeling for predicting the strength of the proximal femur for loading from a fall onto the greater trochanter

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