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Methods and Applications for Controlling Cellular Viability Using Fluoride-Sensitivity

This technology employs fluoride-sensitivity to overcome the limitations of existing selection methods.

Smart Dialysis Catheter

UCLA researchers in the Department of Cardiology at UCLA’s David Geffen School of Medicine have developed a smart dialysis catheter that can measure different patient vitals in real-time to prevent hospitalizations due to renal failure.

FEAST - Fast Expectation-Maximization Microbial Source Tracking

UCLA researchers from the Department of Computer Science have developed a method to analyze large genomic data sets to quickly identify bacteria community imbalances.

Cellular Potassium Imaging Using A Ratiometric Fluorescent Sensor

The inventors developed a ratiometric fluorescent small molecule probe for potassium ion detection composed of a duo-fluorophore system (KR-1). UV-vis detector and fluorometer measurement support ratiometric response of the probe towards potassium ion concentration. The probe was further applied to cellular potassium level detection using confocal microscope imaging technique. KR-1 enables simple determination of potassium levels in various cancer or non-cancer cell lines.

Identification Of Pan-Cancer Small Cell Neuroendocrine Phenotypes And Vulnerabilities

UCLA researchers in the Department of Molecular and Medical Pharmacology have developed a classifier for the identification and treatment of small cell neuroendocrine cancers and small-round-blue cell tumors not previously identified.

Enzymatic Modification Of Amino Acids And Their Products

The inventors report the structural characterization of BesD, a recently discovered radical halogenase from the FeII/-ketogluturate family that chlorinates the free amino acid lysine. They also identify and characterize additional halogenases that produce mono- and di-chlorinated as well as brominated and azidated amino acids. The substrate selectivity of this new family of radical halogenases takes advantage of the central role of amino acids in metabolism and enables engineering biosynthetic pathways to afford a wide variety of compound classes, such as heterocycles, diamines, -keto acids, and peptides. 

4D-seq: Single Cell RNA-sequencing with in situ Spatiotemporal Information

To develop a novel imaging-based single cell RNA-sequencing (scRNA-Seq) platform that allows capturing of spatiotemporal information and cellular behavior of the sequenced cells within tissue.

DARTS: Deep Learning Augmented RNA-seq Analysis of Transcript Splicing

Researchers led by Yi Xing have developed a novel deep learning algorithm to detect alternative splicing patterns in RNA-seq data

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 New Human-Monitor Interface For Interpreting Clinical Images

UCLA researchers in the Department of Radiological Sciences have invented a novel interactive tool that can rapidly focus and zoom on a large number of images using eye tracking technology.

Dicom/Pacs Compression Techniques

Researchers led by Xiao Hu from the Department of Surgery at UCLA have created a novel and convenient way to compress and query medical images from a PACS system.

3D Population Maps for Noninvasively Identifying Phenotypes and Pathologies in Individual Patients

UCLA researchers in the Department of Radiological Sciences have developed a novel computation system that uses large imaging datasets to aid in clinical diagnosis and prognosis.

Development Of A Method For Endocrine Network Discovery Uncovers Peptide Therapeutic Targets

UCLA researchers in the Division of Cardiology at the Geffen School of Medicine have developed a bioinformatics methodology to identify and functionally annotate novel endocrine pathways.

High Throughput Digital Cell Quantification Of Immune Cell Subsets Via Epigenetic Markers

UCLA researchers in the Department of Molecular, Cell, and Developmental Biology have developed a novel high-throughput method for the quantification of immune cell subtype.

DNA Methylation Biomarker of Aging for Human Ex Vivo and In Vivo Studies

A UCLA researcher in the Department of Human Genetic and Biostatistics has developed a DNA methylation biomarker for detecting aging in humans.

Lipid-Modified Oligonucleotides For Sample Barcoding in Droplet Microfluidics-Based Single-Cell RNA Sequencing

A new strategy for barcoding single living cells using lipid-modified oligonucleotides that can vastly enhance sample multiplexing in droplet microfluidics-based RNA sequencing

“EchoCV”: A Web-Based Fully Automated Echocardiogram Interpretation System

Echo-CV is a novel, fully-automated system for analyzing images obtained from an echocardiogram that can be deployed on the web.

A Distance-Immune Low-Power Inductively-Coupled Bidirectional Data Link

UCLA researchers in the Department of Electrical Engineering have developed a distance-immune wireless data link for monitoring data in biomedical implants.

Printed All-Organic Reflectance Oximeter Array

A flexible reflectance oximeter array (ROA) composed of printed organic light-emitting diodes (OLEDs) and organic photodiodes (OPDs), which senses reflected light from tissue to determine the oxygen saturation. Since reflected light is used as the signal, the sensor array can be used beyond the conventional sensing locations. We implemented the ROA to measure SpO2 on the forehead with 1.1% mean error and to create two-dimensional (2D) oxygenation maps of the adult forearm under pressure cuff-induced ischemia. Due to the mechanical flexibility, 2D oxygenation mapping capability, and the ability to place the sensor in diverse places, the ROA is promising for novel medical sensing applications such as mapping oxygenation in tissues, wounds, or transplanted organs.

Global Training Of Neural Networks For Phenomic Classification

UCLA researchers in the Department of Electrical Engineering have developed a high-throughput, label-free cell classification method based on time-stretch quantitative phase imaging.

Reducing Computational Complexity of Training Algorithms for Artificial Neural Networks

Researchers at UCLA have developed a novel mathematical theorem to revolutionize the training of large-scale artificial neural networks (ANN).

Simultaneous Doctor Blading Of Different Colored Organic Light Emitting Diodes

Methods for the simultaneous printing via doctor blading of at least two different colored emissive layers for organic light emitting diodes (OLEDs) on a single substrate.

Hemodynamically Responsive Retrograde Endovascular Balloon Occlusion Of The Aorta (REBOA) Simulator

Researchers at the University of California, Davis have developed a hemodynamically responsive simulator for retrograde endovascular balloon occlusion of the aorta (REBOA).

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