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.

      While robots have proven effective in enhancing the precision and time efficiency of MRI-guided interventions across various medical applications, safety remains a formidable challenge for robots operating within MRI environments. As the robots assume full control of medical procedures, the reliability of their operation becomes paramount. Precise control over robot forces is particularly crucial to ensure safe interaction within the MRI environment. Furthermore, the confined space in the MRI bore complicates the safe operation of human-robot interaction, presenting challenges to maneuverability. However, there exists a notable scarcity of force-controlled robot actuators specifically tailored for MRI applications.       To overcome these challenges, UC Berkeley researchers have developed a novel MRI-compatible rotary series elastic actuator module utilizing velocity-sourced ultrasonic motors for force-controlled robots operating within MRI scanners. Unlike previous MRI-compatible SEA designs, the module incorporates a transmission force sensing series elastic actuator structure, while remaining compact in size. The actuator is cylindrical in shape with a length shorter than its diameter and integrates seamlessly with a disk-shaped motor. A precision torque controller enhances the robustness of the invention’s torque control even in the presence of varying external impedance; the torque control performance has been experimentally validated in both 3 Tesla MRI and non-MRI environments, achieving a settling time of 0.1 seconds and a steady-state error within 2% of its maximum output torque. It exhibits consistent performance across low and high external impedance scenarios, compared to conventional controllers for velocity-sourced SEAs that struggle with steady-state performance under low external impedance conditions.

Target biomarkers are often found at low levels (e.g., attomolar to picomolar scale) in the early stages of disease. Current biosensor technologies are limited by their ability to simply and precisely detect target biomarkers at very low concentrations though. Typical biomedical samples, like blood or urine, can also compromise the specificity and sensitivity of common diagnostic platforms without extensive sample processing to remove background contaminants. For example, there are 20,000 molecules in 30 𝜇L specimen (finger prick of blood) at 1 fM concentration, and 100 molecules is needed to get to a statistically meaningful measurement.

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 novel 3D printing approach to culture and construct epithelial tubular mini-tissues.

Researchers at the University of California, Davis have developed a semiautomated solution for identifying differences in tissue architectures or cell types as well as visualizing and analyzing cell densities and cell-cell associations in a tissue sample.

Researchers at the University of California, Davis have developed an operant behavioral assay to study thermosensation, pain, or avoidance and tolerance of an animal to noxious environments.

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.

Worldwide, over 2.5 million people live with spinal cord injury, with over 100,000 new cases occurring annually. Spinal cord injury often causes motor dysfunction below the level of the injury. For example, thoracic and lumbar spinal cord injury can cause paraplegia and cervical spinal cord injury can cause quadriplegia. Such injury is permanent and often severe and there is no effective treatment. Various neurologic diseases also involve damaged or dysfunctional spinal cord neurons. Neural stem cell grafts have potential for treating such conditions. However, it has not been possible to obtain sufficient numbers of appropriately patterned neural stem cells, having a spinal cord positional identity, for implanted cells to survive and functionally engraft.

Deoxyribonucleic acid- (DNA-) based identification in forensics is typically accomplished via genotyping allele length at a defined set of short tandem repeat (STR) loci via polymerase chain reaction (PCR). These PCR assays are robust, reliable, and inexpensive. Given the multiallelic nature of each of these loci, a small panel of STR markers can provide suitable discriminatory power for personal identification. Massively parallel sequencing (MPS) technologies and genotype array technologies invite new approaches for DNA-based identification. Application of these technologies has provided catalogs of global human genetic variation at single-nucleotide polymorphic (SNP) sites and short insertion-deletion (INDEL) sites. For example, from the 1000 Genomes Project, there is now a catalog of nearly all human SNP and INDEL variation down to 1% worldwide frequency. Genotype files, generated via MPS or genotype array, can be compared between individuals to find regions that are co-inherited or identical-by-descent (IBD). These comparisons are the basis of the relative finder functions in many direct-to-consumer genetic testing products. A special case of relative-finding is self-identification. This is a trivial comparison of genotype files as self-comparisons will be identical across all sites, minus the error rate of the assay. For many forensic samples, however, the available DNA may not be suitable for PCR-based STR amplification, genotype array analysis, or MPS to the depth required for comprehensive, accurate genotype calling. In the case of PCR, one of the most common failure modes occurs when DNA is too fragmented for amplification. For these samples, it may be possible to directly observe the degree of DNA fragmentation from the decreased amplification efficiency of larger STR amplicons from a multiplex STR amplification. In the case of severely fragmented samples, where all DNA fragments are shorter than the shortest STR amplicon length, PCR simply fails with no product.

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

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.

Professor Min Xue and colleagues from the University of California, Riverside have developed a new method of construction of a bicyclic peptide library featuring a novel stereo-diversified structure and a simplified construction strategy.  MYC inhibitors were synthesized to demonstrate this method. The method works by using a tandem ring-opening metathesis (ROM) and ring-closing metathesis (RCM) reaction (ROM-RCM) to cyclize the linear peptide library in a single step. This technology is advantageous because the resulting bicyclic peptide may be easily linearized for MS/MS sequencing with a one-step chemistry procedure. 

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.

Researchers at the University of California, Davis have developed a method of using artificial intelligence for assessing the effectiveness or efficacy of drugs that is cheaper, faster, and more accurate than commonly used assay analyses.

The strategy employed by the invention is inspired by splicing factors, a category of RNA-binding protein that influence alternative splicing outcomes. These splicing factors are trans-acting, and act to enhance or silence exon inclusion by binding near or on the target exon and promoting or repressing the activity of splicing machinery. Scientifically, a highly programmable, minimally disruptive system to increase exon inclusion could allow for higher-throughput identification of functional roles of specific exons than have been previously shown.

Researchers from UC San Diego's Neuroelectronics Lab invented an implantable brain electrode technology which allows recording interactions between different cortex regions or interactions of cortex with other subcortical structures. The technology is called Neuro‐FITM. Flexibility and transparency of Neuro‐ FITM allow integration of electrophysiological recordings with any optical imaging (such as high resolution multiphoton imaging) or stimulation technology (such as optogenetics).

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.