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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.

Chronic Fatigue Syndrome Diagnostic

Chronic Fatigue Syndrome (CFS) is a serious and complex debilitating disease with a wide spectrum of symptoms, including muscle pain and neurocognitive deterioration. At present, the diagnosis of CFS is based on clinical symptoms that vary widely. Clinical therapies can include use of anti-depressants, cognitive therapy, and exercise. A pressing need is for an accurate diagnostic tool, as the symptoms of CFS are so similar to other conditions. UC San Diego researchers have recently developed a new diagnostic methodology, and current data suggest 95% accuracy.

Diagnostic Methodology for Essential Tremor

Essential Tremor is a disease of the nervous system, that can severely impact daily life for sufferers. Diagnosis is currently made solely on clinical grounds, and no direct tremor measure from the brain has been developed to objectively measure tremor severity. The current methodologies use devices placed on the hands to measure the tremor magnitude. A pressing need is for an accurate diagnostic tool, as the symptoms of tremor can be similar to other conditions. UC San Diego researchers have recently developed a new diagnostic methodology, and current data suggest 95% accuracy.

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.

CRISPR-CAS EFFECTOR POLYPEPTIDES AND METHODS OF USE THEREOF (Cas14 Type)

The CRISPR-Cas system is now understood to confer bacteria and archaea with acquired immunity against phage and viruses. CRISPR-Cas systems consist of Cas proteins, which are involved in acquisition, targeting and cleavage of foreign DNA or RNA, and a CRISPR array, which includes direct repeats flanking short spacer sequences that guide Cas proteins to their targets.  Class 2 CRISPR-Cas are streamlined versions in which a single Cas protein bound to RNA is responsible for binding to and cleavage of a targeted sequence. The programmable nature of these minimal systems has facilitated their use as a versatile technology that is revolutionizing the field of genome manipulation.  Current CRISPR Cas technologies are based on systems from cultured bacteria, leaving untapped the vast majority of organisms that have not been isolated.  There is a need in the art for additional Class 2 CRISPR/Cas systems (e.g., Cas protein plus guide RNA combinations).     UC Berkeley researchers discovered a new type of Cas 14 protein.  Site-specific binding and/or cleavage of a target nucleic acid (e.g., genomic DNA, ds DNA, RNA, etc.) can occur at locations (e.g., target sequence of a target locus) determined by base-pairing complementarity between the Cas14 guide RNA (the guide sequence of the Cas14 guide RNA) and the target nucleic acid.  Similar to CRISPR Cas9, Cas14 enzymes are expected to have a wide variety of applications in genome editing and nucleic acid manipulation.    

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.

Low-Cost And Portable Uv Holographic Microscope For High-Contrast Protein Crystal Imaging

UCLA researchers in the Department of Electrical Engineering have developed an on-chip UV holographic imaging microscope that offers a low-cost, portable, and robust technique to image and distinguish protein crystals from salt crystals.

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.

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