Researchers at the University of California, Davis have developed advanced compounds targeting neuraminidase activity to combat viral infections and understand cellular mechanisms.

Researchers at the University of California, Davis, have developed new synthesis methods for the rapid and highly pure production of glycosphingolipids. The prototyped process can produce pure glycosphingolipids that can be used within basic disease research and drug and diagnostic development.

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Researchers at the University of California, Davis have developed a system that significantly improves the accuracy and efficiency of stress detection through electrodermal activity monitoring.

Researchers at the University of California, Davis, have developed a new optoretinography) imaging and analysis system for diagnosing and monitoring retinal health and diseases.

Researchers at the University of California, Davis have developed a microfluidic flowmetry technology that achieves on-chip measurement with ultrahigh precision across a wide tunable range.

Rapid antimicrobial susceptibility testing (AST) is a method for quickly determining the most effective antibiotic therapy for patients with bacterial infections. These techniques enable the detection and quantification of antibiotic-resistant and susceptible bacteria metabolites at concentrations near or below ng/mL in complex media. Employing bacterial metabolites as a sensing platform, the system integrates machine learning data analysis processes to differentiate between antibiotic susceptibility and resistance in clinical infections within an hour. With the results, a clinician can prescribe appropriate medicine for the patient's bacterial infection.

This technology revolves around Optical Coherence Tomography (OCT), a noninvasive imaging method that provides detailed cross-sectional images of tissue microstructure and blood flow. OCT utilizes either time domain (TDOCT) or Fourier domain (FDOCT) approaches, with FDOCT offering superior sensitivity and speed. Doppler OCT combines Doppler principles with OCT to visualize tissue structure and blood flow concurrently. Additionally, polarization-sensitive OCT detects tissue birefringence. Advanced methods aim to enhance the speed and sensitivity of Doppler OCT, crucial for various clinical applications such as ocular diseases and cancer diagnosis. Swept source FDOCT systems further improve imaging capabilities by increasing range and sensitivity. Overall, this technology represents significant advancements in biomedical imaging, offering insights into both structural and functional aspects of tissue physiology.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a serious threat to human health without effective treatment. There is an urgent need for both real-time tracking and precise treatment of the SARS-CoV-2 infected cells to mitigate and ultimately prevent viral transmission. However, selective and responsive triggering and tracking of the therapeutic processin infected cells remains challenging.

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Researchers at the University of California, Davis have developed a device for multi-dimensional data extraction at the molecular level to allow one to simultaneously detect the presence of a single-molecule electrically, and to extract a chemical fingerprint to identify that molecule optically.

Researchers at the University of California, Davis have developed a technology to expedite COVID-19 diagnosis and treatment using viral spike protein (S-protein) targeted peptides Zika virus envelop protein.

A comprehensive method for automated multi-organ segmentation based on deep fully convolutional networks and adversarial training, achieving superior results compared to existing techniques.

An innovative mass spectrometry platform that utilizes sulfoxide-containing MS-cleavable heterobifunctional photoactivated cross-linkers to enhance protein structural elucidation.

This patent application describes methods for non-invasive, label-free imaging of the cellular immune response in human skin using a nonlinear optical imaging system.

A novel method and device for high-throughput sorting of cells in suspension, particularly focusing on the separation of key cellular blood components of the immune system. The patent application presents a novel approach to high-throughput cell sorting, particularly suitable for applications in medicine and biotechnology where precise separation of cell populations is crucial.

The disclosed methods offer a robust approach to accurately quantify skin optical properties across different skin tones, facilitating improved diagnosis, monitoring, and treatment in dermatology.

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.      

An innovative technology that uses a device to move any imaging device precisely through a path in 3D space, enabling the generation of high-resolution 3D models.

Prof. John Franchak and his team have developed a prototype system that accurately classifies an infant's body position.

Researchers from UC San Diego have developed a patent-pending wearable device for concurrently assessing afferent and efferent visual functions. The invention details novel mobile brain-computer interfacing methods and systems for concurrently assessing afferent and efferent visual functions.

Dysfluent speech modeling requires time-accurate and silence-aware transcription at both the word-level and phonetic-level. However, current research in dysfluency modeling primarily focuses on either transcription or detection, and the performance of each aspect remains limited.To address this problem, UC Berkeley researchers have developed a new unconstrained dysfluency modeling (UDM) approach that addresses both transcription and detection in an automatic and hierarchical manner. Furthermore, a simulated dysfluent dataset called VCTK++ enhances the capabilities of UDM in phonetic transcription. The effectiveness and robustness of UDM in both transcription and detection tasks has been demonstrated experimentally.UDM eliminates the need for extensive manual annotation by providing a comprehensive solution.

Researchers at the University of California, Davis (UC Davis) have developed a simplified procedure to synthesize complex glycosphingosine compounds for the chemical preparation of glycosphingolipids.

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