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cBCI: Method and System for Diagnosing and Training Cognitive Fitness and Targeted Neural Network Function Underlying Cognitive Fitness in an Integrated Digital Approach

The inventors have created a brain computer interface (BCI) that serves as a diagnostic and training tool of cognitive abilities and neural network function.

NOVEL ANTIBODIES AGAINST EPHA2 FOR RESEARCH, DIAGNOSIS, AND TREATMENT OF CANCER

A novel monoclonal human antibody specific to the cell-surface exposed protein EphA2, which is over-expressed in many forms of cancer and is a validated therapeutic target.

Low-Intrusion Plasma Probe

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed an inexpensive and easily implemented plasma diagnostic tool, the Low-Intrusion Probe.

Novel Biomarker For GI Diseases

UCLA researchers at the David Geffen School of Medicine have discovered a small antimicrobial peptide elafin to be used as a biomarker for evaluating inflammatory bowel disease activity and the development of intestinal fibrosis.

Chip-Based Detection Of Diabetes Related Biomarkers

A major goal in disease screening, diagnosis, and control has been to develop bioassay platforms capable of simultaneous measurements of different analytes in a single assay. Significant advances toward multiplexed biomarker detection chips based on either immunoassays or enzymatic bioassays have thus been reported. However, the combination of enzymatic and immunoassay sensing into a single disposable system has hitherto not been addressed.

A Universal Method For Quantifying Proteins, Small Molecules, Lipids, And Electrolytes

UCLA scientists in the Departments of Psychiatry & Biobehavioral Sciences and Human Genetics have developed a novel method for the simultaneous quantification of proteins, small molecules, lipids, and electrolytes.

Predicting Cefixime Susceptiblity Using Molecular Genotyping

UCLA researchers in the David Geffen School of Medicine have developed a novel method to detect the susceptibility of Neisseria gonorrhoeae to the antibiotic cefixime.

Simple Imaging Tool for Oral Cancer Detection and Monitoring

UCI researchers have developed a miniature, flexible intra-oral probe with a camera that allows early detection of oral cancer lesions in difficult-to-see, high risk areas of the mouth and throat. The tool allows for a low cost, non-invasive procedure that can be easily adopted in non-specialist medical settings.

At Home Fetal Electrocardiogram/Heartrate Monitor for Congenital Heart Defect Diagnosis

Congenital heart defects affect >1% of babies born in the United States. These defects originate early on in fetal development. Inventors at UC Irvine have developed a flexible medical device that allows at home fetal electrocardiogram (ECG) monitoring to diagnosis congenital heart defects during development.

“Polyp-Print”: A Methodology To Identify Which Colon Polyps Are Likely To Proceed To Colorectal Cancers

Colorectal cancer (CRC) is the second leading cause of cancer deaths in men and women combined in the United States, according to the American Cancer Society. Every day, patients undergo routine screening colonoscopies around the world for assessment of their risk of CRC. CRCs always arise from precursor lesions, called polyps. Since most patients with polyps are asymptomatic, tracking these lesions through fecal occult blood, rectosigmoidoscopy and colonoscopy enables the suspicion, detection and removal of the lesion. Since 2000, colonoscopy has become the most important examination to track polyps and CRC. Nowadays, in the USA, one out of four colonoscopies aim to track polyps. Besides detecting polyps, their removal through endoscopic polypectomy has proved to be effective to reduce the incidence of this tumor. Anatomopathological analysis enables the histological classification of adenomas, and also allows checking for dysplasia or neoplasm, as well as vascular and/or lymphatic invasion. This assessment determines if polypectomy and/or mucosectomy were effective to heal the patient who presented with polyp or CRC, or if therapeutics will be necessary. Typically, screening colonoscopies begin at age 50, and are done every 10 years. If polyps are encountered, based on their size and number and location, the risk is determined to be high vs low (completely arbitrarily, with no molecular basis at all). Bottomline, right now, there is no way to tell which polyp will become a cancer and which will not. Hence, some patients may be receiving over Rx and some may be under Rx. Clearly, what is needed is an invention that can predict the timing and consequences of multiple host events during CRC initiation and progression.

Method for the detection of specific cells in bodily fluids with a small fluorescent probe

Using standard cellular biology techniques, researchers at UCI have developed a method for detecting the cellular components of blood easily, cheaply, and quickly with accurate quantification using fluorescence techniques.

Very-Small-Nuclear Circulating Tumor Cell (vsnCTC) as a Diagnostic Biomarker of Visceral Metastasis in Advanced Prostate Cancer

UCLA researchers in the Department of Molecular and Medical Pharmacology have identified a novel biomarker that can be used to diagnose prostate cancer patients for the presence of visceral metastasis with 54% sensitivity and 100% specificity.

Device and Method for Microscale Chemical Reactions

UCLA researchers in the Departments of Bioengineering and Molecular and Medical Pharmacology have developed a passive microfluidic reactor chip with a simplified design that is less costly than existing microfluidic chips.

An Algorithm For Automatic Histologic Grading Of Prostate Cancer

UCLA researchers in the Departments of Radiological Sciences and Pathology and Laboratory Medicine have developed a novel computer-aided diagnostic tool for histologic grading of prostate cancer.

Microfluidics Device and Methods of Detecting Airborne Agents

A microfluidic platform for real time sensing of volatile airborne agents.

Improved Cryosectioned Tissue Imaging Using Artificial Intelligence-Based Image Mapping

Researchers at the University of California, Davis have developed a process that utilizes artificial intelligence-based image mapping to improve the image of frozen tissue sections and reduce artifacts and distortion of those specimens.

A Method For Enhancement Of Medical Images

UCLA researchers in the Department of Electrical and Computer Engineering have developed an algorithm for hallucination-free resolution enhanced brain MRI images with better quality and superior computational time compared to the current state of the art.

Transcription Factor Treatment for Schizophrenia and Bipolar Disorder

Current time to diagnosis for Schizophrenia and Bipolar Disorder is extremely lengthy (~6 months), and a delay in treatment greatly increases risk for suicidal thoughts. Once diagnosis has occurred, therapeutic options for both mental illnesses are greatly varied and have numerous side effects. To address both issues, UCI researchers have developed a novel way to diagnose and treat Schizophrenia and Bipolar Disorder by targeting specific transcription factors.

Mobile Microscopy Camera

A portable camera device that combines fluorescent imaging with optical sectioning capability of microscopic samples and wireless data transfer. This 3D sectioning imaging system and fluorescent detection will detect bacteria for ease use in remote areas for on-site diagnosis and will connect to a smartphone. The technology will lead to significant improvements in public health.

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.

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