Researchers at the University of California, Davis (“UC Davis”) have developed a unisex swimwear garment designed to prevent swimming-related injuries and to assist in injury recovery during training.

Professor Kendrick Davis and colleagues from the University of California, Riverside have developed measurement and mapping survey technology that is easy to use, pictorial based, and written by a design that ensures present and ongoing scale validation with Unicode for standardization across virtually all electronic platforms. The emoji-based measurement system (Eb-MS) consists of a linked/connected set of tables organized by three master sets, and sets of linked tables as domain families (i.e., Medicine, Education, etc.) This technology is advantageous because it may facilitate effective communication with individuals with certain health situations, such as stroke, brain injury, or vocal impairments, or with language barriers. 

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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.

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 an invention that utilizes an integrated Raman scanning head and machine vision for high throughput chemical analysis of liquid biopsy samples.

Researchers at the University of California, Davis have developed a sleep quality measuring device to measure waking electroencephalogram (EEG) test to determine the adequacy of sleep

Researchers at the University of California, Davis have developed a technology providing the creation of stable analogs of glycosphingosines and gangliosides containing O-acetylated sialic acid for extensive biological and medical applications.

The invention entails a unique catheter device utilizing electromotive drug administration (EMDA) to enhance drug penetrance into tissues of the ureter, renal pelvis, and calyces. By incorporating a conductive wire and fluid delivery system, the catheter enables targeted drug delivery, potentially revolutionizing the treatment of kidney stones, urothelial carcinoma, infections, and inflammation without systemic side effects.

The invention presents a microfluidic platform equipped with specialized trapping arrays and droplet generation capabilities, enabling precise control over the formation of microvortices within cell-laden droplets. This novel system facilitates the study of cell-cell interactions at a single-cell level, offering configurable microenvironments for analyzing cell dynamics and pair relationships.

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 direct drive hearing device, with a removable outside component that allows high quality sound and prolonged usage.

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

A breakthrough technology using insulin-secreting cells and stem cells to enhance wound healing and reduce scar formation.

A cost-effective neurosurgical simulator designed to give neurosurgical residents and medical students a platform to practice and enhance their operative skills.

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.

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.

Volumetric additive manufacturing and vat-polymerization 3D printing methods rapidly solidify freeform objects via photopolymerization, but problematically raises the local temperature in addition to degree-of-conversion (DOC). The generated heat can critically affect the printing process as it can auto-accelerate the polymerization reaction, trigger convection flows, and cause optical aberrations. Therefore, temperature measurement alongside conversion state monitoring is crucial for devising mitigation strategies and implementing process control. Traditional infrared imaging suffers from multiple drawbacks such as limited transmission of measurement signal, material-dependent absorptions, and high background signals emitted by other objects. Consequently, a viable temperature and DOC monitoring method for volumetric 3D printing doesn’t exist.To address this opportunity, UC Berkeley researchers have developed a tomographic imaging technique that detects the spatiotemporal evolution of temperature and DOC during volumetric printing. The invention lays foundations for the development of volumetric measurement systems that uniquely resolve both temperature and DOC in volumetric printing.This novel Berkeley measurement system is envisaged as an integral tool for existing manufacturing technologies, such as computed axial lithography (CAL, Tech ID #28754), and as a new research tool for commercial biomanufacturing, general fluid dynamics, and more.

The LaserPack is an easily manufacturable solution for liquid storage in point-of-care devices that is low-cost, has dimensional variability, and is reproducible, while also serving as a valve for liquid access in microfluidic devices. Current liquid storage techniques rely on lyophilization, or freeze-drying, to minimize occupied space, but lyophilization is not applicable to all liquid reagents nor is it optimal for some biological components of point-of-care devices.

The California Lighting Technology Center at UC Davis in collaboration with the Center for Mind and Brain have developed a novel lighting technology approach for stress recovery and stress mitigation.

Rhamnolipids (RLs) are a class of bacterially produced biosurfactants that possess antimicrobial as well as surface-active properties. While RLs have broad utility in industry as antimicrobial biosurfactants, their anionic nature limits the efficacy of these molecules in certain applications. Alternatively, rhamnolipid esters (RLEs) exhibit improved properties as nonionic surfactants. However, a major challenge in RLE application in the commercial arena is that, to date, they are only reliably accessed via chemical synthesis, a costly and unsustainable approach.To address this problem, UC Berkeley researchers have developed a novel, reliable microbial source for biosynthesized RLEs enabling their production in an efficient, sustainable, and renewable manner. Additionally, three novel rhamnolipid methyl ester (RLME) congeners have been produced and a new enzyme for RLE production identified. The produced RLEs are expected to be more effective than RLs in many ways, including antifungal activity and hydrocarbon solubilization.

Cardiovascular disease is the leading cause of death both worldwide and in the United States, with associated costs in the U.S. reaching approximately $229 billion, each, in 2017 and 2018. Early detection, which can drastically reduce both rates of death and treatment costs, requires access to facilities and highly-trained physicians that can be difficult to access in rural areas and developing countries—despite their prevalence of cardiovascular disease. Computer-based models that use, e.g., PCG (phonocardiogram), EKG (electrocardiogram), or other cardiac data, are a promising route to bridge the gap in standard-of-care for these underserved areas. However, current algorithms are unable to account for demographic features, such as race, sex, or other characteristics, which are known to affect both the structure of the heart and presentation of heart disease. To address this problem, UC Berkeley researchers have developed a new, cloud-based system for collecting a patient's continuous cardiovascular data, monitoring for and detecting disease, and keeping a doctor informed about the cardiac health of the patient. The system sends an alarm when disease or heart attack are detected. To generate the most accurate diagnoses by taking into account demographic information, the system includes private and ethical dataset collection and model-training techniques.

Stress and loneliness are biologically toxic factors with adverse effects on mental and physical health. The 2018 Gallup World Poll found a 25%–40% increase in stress, worry, and anger in the US from 2008 to 2018. Loneliness is associated with considerable distress, and older adults are vulnerable to loneliness due to losses, physical decline, and social isolation. The COVID-19 pandemic led to increased social isolation, though some older adults with higher levels of resilience and wisdom faced the pandemic with greater fortitude than younger adults.Aging is associated with numerous stressors that negatively impact older adults’ well-being. Resilience improves ability to cope with stressors and can be enhanced in older adults. Senior housing communities are promising settings to deliver positive psychiatry interventions due to rising resident populations and potential impact of delivering interventions directly in the community.