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

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.

Researchers at the University of California, Davis have developed a Brain-Computer Interface (BCI) technology that enables individuals with paralysis to communicate and control devices through multimodal speech and gesture neural activity decoding.

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.

A novel technology for real-time, non-invasive monitoring and adaptive control of electron radiotherapy treatments using acoustic signals.

This technology represents a pioneering approach to vaccine development, focusing on encapsulated adjuvants and antigens to enhance efficacy while minimizing side effects.

Researchers at the University of California, Davis have developed monoclonal antibodies engineered for the treatment and detection of autoimmune disorders and cancers in dogs.

A revolutionary software that integrates with surgical microscopes to accurately locate the trabecular meshwork (TM), enhancing the safety and efficiency of glaucoma surgeries.

A cutting-edge vaccine delivery platform that enhances tumor treatment by co-delivering MHC class I and II restricted antigens.

A groundbreaking non-pharmacological approach to controlling resistant hypertension through personalized, closed-loop neurostimulation.

This technology introduces a flexible, secure, and scalable approach to creating body area networks (BANs) using textile-integrated metamaterials for advanced healthcare monitoring.

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.

       Spectral machine vision collects both the spectral and spatial dependence (x,y,λ) of incident light, containing potentially useful information such as chemical composition or micro/nanoscale structure.  However, analyzing the dense 3D hypercubes of information produced by hyperspectral and multispectral imaging causes a data bottleneck and demands tradeoffs in spatial/spectral information, frame rate, and power efficiency. Furthermore, real-time applications like precision agriculture, rescue operations, and battlefields have shifting, unpredictable environments that are challenging for spectroscopy. A spectral imaging detector that can analyze raw data and learn tasks in-situ, rather than sending data out for post-processing, would overcome challenges. No intelligent device that can automatically learn complex spectral recognition tasks has been realized.       UC Berkeley researchers have met this opportunity by developing a novel photodetector capable of learning to perform machine learning analysis and provide ultimate answers in the readout photocurrent. The photodetector automatically learns from example objects to identify new samples. Devices have been experimentally built in both visible and mid-infrared (MIR) bands to perform intelligent tasks from semiconductor wafer metrology to chemometrics. Further calculations indicate 1,000x lower power consumption and 100x higher speed than existing solutions when implemented for hyperspectral imaging analysis, defining a new intelligent photodetection paradigm with intriguing possibilities.

Researchers at the University of California, Davis have developed an approach for the rapid inactivation of bacteria and virus using photo-active matrices enhanced with bio-affinity ligands under daylight irradiation conditions.

Researchers at UCI have discovered the tertiary structure of the Chlamydia major outer membrane protein (MOMP). Despite historical challenges in formulating an effective vaccine, recent advancements in understanding MOMP's structure offer new pathways for vaccine development against urogenital and ocular infections caused by C. trachomatis.

Researchers at the University of California, Davis, have developed a modified, caninized monoclonal antibody that targets canine PD-L1, developed for use as dog cancer therapy.

A novel dendronized polypeptide architecture for efficient and safe mRNA delivery, suitable for anti-tumor immunotherapy.

An innovative system designed to enhance rehabilitation therapy for neurological conditions through comprehensive, computer-based solutions.

This device offers a non-invasive solution for treating nasal airway obstructions, significantly improving recovery time and patient outcomes.

A novel method for predicting the effective lens position (ELP) in cataract surgery through pre-operative measurements of natural lens curvatures.

A novel approach to treating tinnitus through electrical stimulation of the inner ear or auditory nerve.

Researchers at the University of California, Davis have developed an innovative technology designed to directly measure fetus blood oxygen saturation level through the maternal abdomen from the onset of labor until birth, thereby improving fetal health outcomes.

Researchers at the University of California, Davis, have developed a process for isolating anti-inflammatory lipids for treating autoimmune and inflammatory diseases.