Innovative cell lines enabling precise genetic modifications to advance research in gene function, disease modeling, and potential therapeutic interventions.

This technology offers a revolutionary approach to point-of-care diagnosis and large-scale health surveillance by enabling portable, high-accuracy detection of proteins, bioparticles, and cells.

An advanced geometric method for comprehensive 3D cardiac strain analysis, enhancing diagnosis and monitoring of myocardial diseases.

A novel device leveraging centrifugal microfluidics to accelerate bacterial growth and rapidly determine antibiotic susceptibility.

This technology offers a sophisticated approach to detecting coronavirus infections, including COVID-19, and assessing immunity through advanced biochip systems

Professor Anubhuti Goel and colleagues from the University of California, Riverside have developed a novel diagnostic tool and software program that provides a quick, objective measure of sensory issues for individuals with Autism spectrum disorders and Fragile X syndrome. This tool works by using a software application to administer a game. Based on the individual’s score at the end of the game, a diagnosis about sensory issues may be made. This technology is advantageous because it may provide an easily accessible, low cost, and safe diagnostic tool for Fragile X Syndrome and Autism that can be developed as a telehealth diagnostic tool.     

Professor Erica Heinrich and their team from the University of California, Riverside have developed a novel clinical tool that can be used for the continuous, objective prediction and monitoring of dyspnea in hospitalized and ICU patients. This tool works by using machine learning models to continuous monitor and predict bouts of dyspnea, even when patient monitoring is difficult due to sedation or other medical conditions. This technology has been tested in healthy individuals and is advantageous because it leverages non-invasive biomarkers and it is designed to overcome the subjectivity and low resolution of current methods.

Researchers at the University of California, Davis have developed a microscopy system combining optical coherence and confocal fluorescence microscopy for accurate Dry Eye Disease diagnosis.

A novel diagnostic technology offering rapid, accurate, and inexpensive detection, genotyping, and quantification of viral RNA in patient-derived samples, enhancing public health capabilities.

Precise control of wound healing depends on physician’s evaluation, experience. Physicians provide conditions and time for body to either heal itself, or to accept and heal around direct transplantations, and their practice relies a lot on passive recovery. Slow healing of recalcitrant wounds is a known persistent problem, with incomplete healing, scarring, and abnormal tissue regeneration. 23% of military blast and burn wounds do not close, affecting a patient’s bone, skin, nerves. 64% of military trauma have abnormal bone growth into soft tissue. While newer static approaches have demonstrated enhanced growth of non-regenerative tissue, they do not adapt to the changing state of wound, thus resulting in limited efficacy.

In PET imaging, patient motion, such as respiratory and cardiac motion, are a major source of blurring and motion artifacts. Researchers at the University of California, Davis have developed a technology designed to enhance PET imaging resolution without the need for external devices by effectively mitigating these artifacts

A groundbreaking method for the efficient isolation and preservation of high-purity small extracellular vesicles (sEVs - exosomes) from biofluids using a novel EXO-PEG-TR reagent.

Researchers at the University of California, Davis have developed method for separating quasi-periodic mixed-signals using a single data trace, enhancing wearable sensor applications.

This technology introduces a novel class of synthetic genetic polymers, capable of enhancing protein target binding and mimicking antibodies, for therapeutic and diagnostic applications.

Researchers at UCI and Harvard have engineered a new platform for diversifying antibody genes in yeast, eliminating a crucial bottleneck in making effective antibodies. This technology enables the rapid continuous directed evolution of affinity reagents for applications ranging from structural and cellular biology to diagnostics and immunotherapy.

A revolutionary device for the diagnosis of cerebrospinal fluid (CSF) leaks with rapid, accurate, and low-volume sampling at the point of care.

An innovative algorithm linking electroencephalogram (EEG) neural data with cognitive model parameters to predict brain signals from behavioral data.

Professor Bahman Anvari and colleagues from the University of California, Riverside and the University of Maryland have developed nanoparticle systems with greater fluorescence emission when compared to known dyes. These nanoparticles incorporate dual near infrared fluorescence (NIR) and magnetic resonance (MR) dyes for improved fluorescence.  The nanoparticles encapsulate brominated carbocyanine dyes with MR qualities and ICG with NIR properties. This technology is advantageous because these nanoparticles containing these dyes exhibit greater fluorescence emission when compared to the individual dyes.  This presents a promising dual-mode platform with high optical sensitivity and clinical diagnostic and research applications.  

Researchers at UC Irvine have identified genetic polymorphisms associated with disease progression and responsiveness to treatment with Tetracosapentaenoic acid (24:5 n-3) for age-related eye disorders such as age-related macular degeneration (AMD), diabetic retinopathy and glaucoma. These variations found in the ELOVL2 gene are associated with AMD progression and the varying responses individuals have to AMD treatments, including preventative measures. Additionally, these genetic variations have applications in human identification.

Precise control of wound healing depends on physician’s evaluation, experience. Physicians provide conditions and time for body to either heal itself, or to accept and heal around direct transplantations, and their practice relies a lot on passive recovery. Slow healing of recalcitrant wounds is a known persistent problem, with incomplete healing, scarring, and abnormal tissue regeneration. 23% of military blast and burn wounds do not close, affecting a patient’s bone, skin, nerves. 64% of military trauma have abnormal bone growth into soft tissue. While newer static approaches have demonstrated enhanced growth of non-regenerative tissue, they do not adapt to the changing state of wound, thus resulting in limited efficacy.

Professor Giulia Palermo and colleagues from the University of California, Riverside and the University of Rochester have developed high-fidelity Cas13a variants with increased sensitivity for base pair mismatches.The activation of these Cas13a variants can be inhibited with a single mismatch between guide-RNA and target-RNA, a property that can be used for the detection of SNPs associated with diseases or specific genotypic sequences.  

Precise control of wound healing depends on physician’s evaluation, experience. Physicians provide conditions and time for body to either heal itself, or to accept and heal around direct transplantations, and their practice relies a lot on passive recovery. Slow healing of recalcitrant wounds is a known persistent problem, with incomplete healing, scarring, and abnormal tissue regeneration. 23% of military blast and burn wounds do not close, affecting a patient’s bone, skin, nerves. 64% of military trauma have abnormal bone growth into soft tissue. While newer static approaches have demonstrated enhanced growth of non-regenerative tissue, they do not adapt to the changing state of wound, thus resulting in limited efficacy.

Researchers at the University of California, Davis have developed a technology involving statistically reconstructing positronium (or positron) lifetime imaging (PLI) for use with a positron emission tomography (PET) scanner, to produce images having resolutions better than can be obtained with existing time-of-flight (TOF) systems.

Researchers at the University of California, Davis, have developed a novel imaging system that improves the diagnostic accuracy of PET imaging. The system combines machine learning and computed tomography (CT) imaging to reduce noise and enhance resolution. This novel technique can integrate with commercial PET imaging systems, improving diagnostic accuracy and facilitating superior treatment of various diseases.

Researchers at the University of California, Davis, have developed a headset (e.g., virtual reality headset) in which two imaging modalities, optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO), are incorporated with automated eye tracking and optical adjustment capabilities providing a fully automated imaging system in which patients are unaware that images of the retina are being acquired. Imaging takes place while the patient watches a soothing or entertaining video.