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Method for Early Detection of Edema and Intercranial Pressure

Researchers at UCR have developed a process that uses optical coherence tomography (OCT) on specific regions of the cranium to detect the onset of edema before severe damage can be done to the brain.  By scanning various regions of the brain with OCT, the early stages of cerebral edema may be visualized at a far earlier time point than otherwise possible.  The scattering pattern of reflected light changes in a predictable manner when brain water content increases.  This allows for a quick and accurate determination of a patient’s risk for developing dangerous ICP levels, thus eliminating the need for a invasive precautionary craniectomy. Fig. 1: diagram of the OCT apparatus being used to measure edema in a mouse brain Fig. 2: table demonstrating the time between OCT detection of artificially induced edema and onset of increased ICP  

Single Molecule DNA Profiling

UCLA researchers from the Department of Chemistry and Biochemistry have developed a cutting-edge technique that enables “fingerprinting” of a large number of molecules from a single cell. This technique could revolutionize current molecular diagnostics and prognostics, and therefore lead to personalized medicine in the future.

Lensfree Tomographic Imaging

UCLA researchers in the Department of Electrical Engineering have developed a system for lens-free tomographic imaging.

Automatic Personal Daily Activity Tracking

Researchers at UCI have developed an entirely unobtrusive method for chronicling and analyzing an individual’s daily activities over time, which relies on tracking user activity via their smartphone. This technology has important applications in health and behavior monitoring, where it can be used to signal the early stages of various diseases and disorders.

Spatio-Temporal Pacing and Recording for Evaluation, Induction, and Mapping of Arrhythmias

Researchers led by Marmar Vaseghi from the School of Medicine at UCLA have developed a high density electrode array to evaluate, induce, and map arrhythmias.

Novel Biomarker Panel for the Early Diagnosis of Lyme Disease

This diagnostic technology uses a panel of 20 biomarkers to diagnose Lyme disease with much higher sensitivity and accuracy than other currently existing methods. Lyme disease can be detected in peripheral blood samples from patients even at early hard-to-diagnose stages. These aspects of the invention make it indispensable for speeding up recovery and prevention of complications associated with this debilitating illness such as carditis, arthritis, neurological illness and even death.

Liquid Biopsy Diagnostic for Precursor Lesions of Pancreatic Cancer

These highly specific biomarkers distinguish potentially malignant mucinous cysts from benign nonmucinous cysts in the pancreas to help diagnose precursor lesions of pancreatic ductal adenocarcinoma. The biomarkers can be detected through enzymatic assays with exceptional accuracy and sensitivity.

Identification Of OLMAINC as a Biomarker for NAFLD, NASH, Metabolic Syndrome, Hepatic Fibrosis

UCLA researchers in the Departments of Medicine and Human Genetics have identified a sequence of long, non-coding RNA that plays a role in the regulation of intracellular lipogenesis and holds potential for diagnosing and treating metabolic diseases, including NAFLD and NASH.

A Cell-Based Seeding Assay for Huntingtin Aggregation

UCLA researchers from the Department of Psychiatry has created a novel cell-based seeding assay for sensitive, specific and high throughput detection of mutant Huntingtin proteins in biological samples.

Sonification-Facilitated Cognitive Training System to Enhance Visual Learning and Memory

UCLA researchers in the Department of Psychology have developed a new cognitive training tool to enhance visual learning and memory using sound.

Novel Use of Chitinases for Treatment of Lung Inflammatory and Fibrotic Diseases

A novel approach for the treatment of lung inflammatory and fibrotic diseases by increased or repaired chitinase function in lung tissues

Apparatus and Signal Processing Technique for Real-Time Label-Free High-Throughput Cell Screening

UCLA researchers in the Department of Bioengineering have invented a novel apparatus for real-time label-free high-throughput cell screening.

Biomarker of Dyskinesia to Customize Medication or Deep Brain Stimulation for Parkinson's Disease Patients

This invention has provided methods for detecting dyskinesia in Parkinson’s disease patients and provided a way to titrate current treatment to maximize benefits while minimizing side effects.

A Prognostic Biomarker For Coccidioidomycosis

UCLA researchers in the Department of Pediatrics and the Department of Molecular and Medical Pharmacology have identified a prognostic biomarker for Coccidioidomycosis.

Probability Map of Biopsy Site

UCLA researchers in the Department of Radiological Science have developed a technique for generating a probability map on an MRI that indicates the certainty of tissue sampling from a location, which could improve imaging-guided biopsies and their correlation with pathology.

Diagnosis and Treatment of Arteriovenous Malformations

UCLA researchers in the Departments of Molecular, Cell, and Development Biology & Surgery have identified Angiopoietin 2 (Ang-2) as a marker and potentially a strong contributing factor to the clinical presentation of pulmonary arteriovenous malformations.

High Frequency Digital Frequency Domain Fluorescence Lifetime Imaging System For Applications On Tissues

The technology is a software/hardware combination designed to enhance sampling rate for frequency domain fluorescence lifetime imaging. Fluorescence lifetime imaging microscopy (FLIM) is a technique that uses signals emitted from fluorescent samples to construct images of those samples in near real time. An advantage to FLIM is its ability to image large fields of view, which makes it an attractive option for dynamical measurements of live biological tissues. The higher sampling rate available using this technology will allow for more information to be gleaned from biological samples, which may have a fluorescence band up to 1 GHz, advancing tissue imaging.

Single-Pixel Optical Technologies For Instantly Quantifying Multicellular Response Profiles

UCLA researchers in the Department of Mechanical & Aerospace Engineering and the Department of Pathology & Lab Medicine have proposed a new platform technology to actuate and sense force propagation in real-time for large sheets of cells.

Multi-Layer Electro-Textile MRI RF Coil Array

UCLA Researchers in the Department of Electrical Engineering have developed RF coils for MRI imaging made from ergonomic electro-textile materials.

Mobile Phone Based Fluorescence Multi-Well Plate Reader

UCLA researchers have developed a novel mobile phone-based fluorescence multi-well plate reader.

Type V CRISPR/CAS Effector Proteins for Cleaving ssDNA and Detecting Target DNA

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Method for creating a macular/retinal degeneration animal model

Researchers at UCI have developed an animal model that mimics the onset and progression of age-related macular degeneration, an incurable disease that is the fourth-leading cause of blindness globally. The model serves as a means for testing the efficacy of possible treatments and cures.

Calcified Polymeric Valve and Vessels

A cast molded methodology for creating polymeric heart valves and vessels with calcium apatite inclusions. The heart valves and vessels can then be implanted in animals to test cardiovascular medical device efficacy.

Respiratory Monitor For Asthma And Other Pulmonary Conditions

A patch sensor that is able to continuously monitor breathing rate and volume to diagnose pulmonary function and possibly predict and possibly prevent fatal asthma attacks.

Platform for predicting a compound’s cardioactivity

The invention is a platform that combines a screening system and machine learning algorithms to investigate and report the cardio-activity related information of a certain compound. Through screening cardiac tissue strips, the platform determines whether a compound is cardio-active or not, as well as the associated cardio-active mechanism based on a drug library that is automatically developed. Such information is crucial for the drug development process, especially for evidence based decisions.

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