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A Method For Digital Pathology Using Augmented Reality

UCLA researchers in the Departments of Electrical Engineering and Computer Engineering have developed a novel method for automated image analysis of digital pathology slides.

An On-Bed Monitoring System For Rehabilitative Exercises

UCLA researchers have developed a novel method for monitoring rehabilitative exercises using a bed sheet with high-density pressure sensors.

Quantitative Determination Of Esterified Eicosanoids and Related Oxygenated Metabolites After Alkaline Hydrolysis

Eicosanoids and related metabolites, sometimes referred to as oxylipins, are a group of structurally diverse metabolites that derive from the oxidation of PUFAs, including arachidonic acid, linoleic acid, and linolenic acid, dihomo linolenic acid, eicosapentaenoic acid, and docosahexaenoic acid. They are locally acting bioactive signaling lipids that regulate a diverse set of homeostatic and inflammatory processes. Given the important regulatory functions in numerous physiological and pathophysiological states, the accurate measurement of eicosanoids and other oxylipins is of great clinical interest and lipidomics is now widely used to screen effectively for potential disease biomarkers.

Use of a Radiation Detector that Combines Virtual Frisch Grid and Cerenkov Readouts

Researchers at the University of California, Davis have developed a radiation detector for high energy photons that employs a transparent semiconductor with a high index of refraction to combine benefits of Virtual Frisch Grid devices and the readout of Cerenkov light.

SYSTEM AND METHOD TO OBTAIN HYPERSPECTRAL IMAGING IN HIGHLY SCATTERING MEDIA BY THE SPECTRAL PHASOR APPROACH

Hyperspectral imaging is a technique combining imaging and spectroscopy resulting in images with extraordinary precision and detail. Current approaches to capture hyperspectral images are costly and time-consuming. The proposed technique makes use of inexpensive filters and reduces the number of required exposures, thereby improving the efficiency and practicability of obtaining hyperspectral images.

Expression-based Diagnosis of Autism Spectrum Disorder and Potential Prognosis of other Complex Diseases

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with prenatal and early postnatal biological onset. Genetic factors contribute to the predisposition and development of ASD with estimated heritability rates of 50-83%. Large-scale genetic studies have implicated several hundred risk (rASD) genes that appear to be associated with many different pathways, cell processes, and neurodevelopmental stages. This highly heterogeneous genetic landscape has raised challenges in elucidating the biological mechanisms involved in the disorder. While rigorous proof remains lacking, current evidence suggests that rASD genes fall into networks and biological processes that modulate one or more critical stages of prenatal and early postnatal brain development, including neuronal proliferation, migration, neurite growth, synapse formation and function. However, these insights are mostly gained from focused studies on single rASD genes or based on transcriptome data of non-ASD brains, leaving an incomplete picture of rASD-induced molecular changes at the individual level and relationships with early-age clinical heterogeneity.

A Method To Determine Cause Of A Cardiac Arrest And Provide Cause-Specific Decision Support In Real-Time Using Continuous Electrocardiography

Researchers led by Duc Hong Do from the Department of Cardiology at UCLA have developed an algorithm to detect the cause of cardiac arrest in a hospital setting.

A Method to Diagnose, Monitor, and Treat Cancer Using Information from Non-Human Nucleic Acids

Increasing evidence indicates a key role for the bacterial microbiota in carcinogenesis. In fact, as much as 20% of the global cancer burden has been estimated to be caused by microbial agents. Many researchers believe the potential mechanism is through resident microbes’ influence on the immune system, with their abilities to dial up or dampen inflammation, as well as to manipulate the capabilities of various immune cells. Based on data from studies using gnotobiotic mouse models colonized with one or more specific bacteria, it appears that microbiota can alter cancer susceptibility and progression by diverse mechanisms, such as modulating inflammation, inducing DNA damage, and producing metabolites involved in oncogenesis or tumor suppression. Emerging evidence suggests that microbiota can be manipulated for improving cancer treatment. However, nothing has been published on the possibility of using tissue microbiome population analyses in patient samples to diagnose, monitor, or treat cancer.

A Method For Accurate Parametric Mapping Based On Characterization Of A Reference Tissue Or Region

UCLA researchers in the Department of Radiology have developed a novel method that addresses a common issue of MRI imaging misinterpretation due to the high field effects of B1+ inhomogeneity.

Deep-Learning-Based Computerized Prostate Cancer Classification Using A Hierarchical Classification Framework

UCLA researchers in the Department of Radiological Sciences have developed a deep-learning-based computerized algorithm for classification of prostate cancer using multi-parametric-MRI images.

Nanoparticles and Imaging Methods for MRI-Guided Stimuli-Responsive Theranostics

UCLA researchers from the Department of Medicine have developed novel nanoparticle and imaging methods for the MRI-guided targeted delivery of therapeutic agents.

Rapid Detection and Typing Of Bacteria

UCLA researchers in the Department of Material Science and Engineering have developed a novel method for rapid identification of bacteria using a Surface Enhanced Raman Spectroscopy (SERS) based approach.

Glucose-conjugated magnetonanoparticles for visualization and treatment of neoplasms and neurological disorders by MRI

Researchers at the UCLA Semel Institute for Neuroscience and Human Behavior have developed magnetic nanoparticles (MNPs) functionalized with deoxyglucose that can be used as tissue-specific contrast agents for MRI. These novel MNPs can help physicians and researchers to differentiate neoplastic, epileptic, parkinsonian, or Alzheimer tissues from normal tissue based on the metabolic activity of the tissue.

Phenotypic Profiling Of Hepatocellular Carcinoma Circulating Tumor Cells For Treatment Selection

Researchers in the UCLA Departments of Surgery and Molecular and Medical Pharmacology have developed a novel blood-based assay that can capture and characterize circulating tumor cells indicative of both early- and late-staged hepatocellular carcinoma (HCC).

Epigenetic Profile-Based Biomarkers for Irritable Bowel Syndrome

UCLA researchers from the Vatche and Tamar Manoukian Division of Digestive Diseases have discovered an innovative approach to diagnose irritable bowel syndrome. This method uses a set of epigenetic profiles as biomarkers and is highly sensitive compared to conventional diagnostic methodologies.

Portable Audiological Evaluation System Using Self-Administered App And Auto-Calibrated Headphone

Researchers led by Qian-Jie Fu from the Department of Head and Neck Surgery at UCLA have invented a portable hearing evaluation system.

Method To Determine Personalized Transcranial Magnetic Stimulation (Tms) Parameters To Enhance Clinical Treatment Outcomes In Major Depression And Neurological Disorders

Researchers led by Aimee Hunter from the Department of Psychaitry at UCLA have developed a methodology to determine parameters for personalized transcranial magnetic stimulation to treat depression.

Amphiphilic Derivatives Of Thioether Containing Block Copolypeptides

UCLA researchers in the Department of Bioengineering have developed a new method to generate amphiphilic block copolypeptides.

A High Throughput Biochemical Fluorometric Method For Measuring HDL Redox Activity

UCLA researchers in the Department of Medicine have developed a method of screening for the functional properties of high-density lipoprotein (HDL) in the blood that may serve as a more accurate risk indicator of cardiovascular disease.

Immunoassay For Human Erythroferrone

UCLA researchers from the Department of Medicine have developed a novel immunoassay for human erythroferrone.

Targeting Unique Copy Number Vulnerabilities In Tumor Cells

In the last ten years much progress has been achieved on the genome analysis of cancer causing genes, mainly driven by the advances of whole genome sequencing and the identification of driver mutations. The detection of thousands of mutations in single samples as well as in large cohorts led by The Cancer Genome Atlas (TCGA), the Cancer Genome Project (CGP), and the International Cancer Genome Consortium have driven these advances. As of 2018, data from these projects and current literature has generated a list of 522 cancer genes in the Catalogue of Somatic Mutations in Cancer (COSMIC). The increasing application of precision medicine for individual cancers has increased the focus of identifying additional and rare drivers of mutations. To that end, some focus has been on the identification of oncogene amplification on extrachromosomal DNA.

Continuous, Quantitative, Non-Enzymatic Glucose Monitoring

A system to measure glucose with light in which glucose concentration determines the light transfer between two florescent molecules.

Simple & Rapid Bacterial Detection

A strategy for the rapid, inexpensive, and simple detection of a variety of bacterial species.

Predicting the Placebo Response and Placebo Responders in Medicated and Unmedicated Patients Using Baseline Psychometric and Clinical Assessment Score

UCLA researchers have developed a method and model to predict the placebo effect and placebo responsiveness using the 30-item baseline positive and negative syndrome scales (PANSS) scores, within both the medicated and unmedicated Schizophrenia patients.

A Non-Progressive Sampling Volumetric Modulated Arc Therapy (VMAT) Method

UCLA researchers in the Department of Radiation Oncology have developed a novel direct aperture optimization method for volumetric modulated arc therapy (VMAT) to solve the current arc optimization problem.

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