Researchers at the University of California, Davis have developed a technology that introduces an approach to creating semi-living, non-replicating cellular systems for advanced therapeutic applications.

A real-time, ultrasound-based imaging modality that improves intracardiac irreversible electroporation accuracy by visualizing electric field distribution during cardiac ablation.

A medical device that uses machine learning and augmented reality to project precise surgical guides onto 3D patient anatomy, enabling real-time surgical guidance and remote expert collaboration.

Chronic wounds affect over 6.5 million people in the United States costing more than $25B annually. 23% of military blast and burn wounds do not close, affecting a military patient's bone, skin, nerves. Moreover, 64% of military trauma have abnormal bone growth into soft tissue. Slow healing of recalcitrant wounds is a known and persistent problem, with incomplete healing, scarring, and abnormal tissue regeneration. Precise control of wound healing depends on physician's evaluation, experience. Physicians generally 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. And 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.

This invention introduces a novel approach to cardiac tissue stimulation and maturation through the use of photoactive organic and biological material blends.

A method to manufacture stretchable circuit boards using silver ink for wearable applications.

A fully implantable brain-computer interface (BCI) system that enables direct brain control of lower extremity prostheses to restore walking after neural injury.

A novel protoacoustic imaging method and apparatus providing affordable, real-time verification of proton range and quantification of radiation dose during proton therapy to improve treatment precision and patient outcomes.

A standalone, low-cost robotic device that quantitatively assesses and intensively trains thumb proprioception to enhance motor recovery after neurological injury.

Pressure injuries (commonly called bedsores or pressure ulcers) represent one of the most persistent and costly challenges in healthcare, affecting over 2.5 million US patients and costing almost $27B in 2019. Hospital-acquired pressure injury events occur in about 3% in general populations and about 6% in intensive care units (ICUs). Current prevention strategies still rely on the Braden Scale risk assessment tool as the gold standard. Developed in the 80s, it is used to stratify patients into risk categories based on factors like sensory perception, moisture, mobility, and friction. The Braden score directly informs turning frequency as the standard of protocol. Unfortunately, medical staff adherence to turning protocols remains low at ~50% nationally, creating a gap between prescribed care and actual implementation. Technologies to help assess by sensing pressure injuries have limitations, including discontinuous monitoring requiring manual interpretation, and lack of objective mobility metrics. These fail to account for the complex interplay between pressure distribution, patient movement patterns, and individual risk factors. The Braden-scoring approach is particularly problematic as it does not account for the presence of existing pressure injuries or patient-specific factors, and has been shown to have inadequate validity for ICU patients. Additionally, current pressure mapping systems are typically large, expensive, and require specialized training, limiting their practical deployment in routine clinical care.

Researchers at the University of California, Davis have developed non-invasive fetal monitoring that enables accurate, continuous measurement of fetal arterial blood oxygen saturation and blood pH.

Researchers at the University of California, Davis have developed technology that provides an advanced system for monitoring and supporting patient resuscitation and mechanical ventilation, enhancing clinical decision-making.

A novel motorized tool designed to precisely deliver retinal tissue during transplantation, enhancing outcomes for patients with retinal degeneration.

A revolutionary redesign of the cervical collar to prevent jugular vein compression, enhancing safety and comfort for neck stabilization.

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.

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.

This technology leverages X-ray-induced acoustic phenomena for real-time, in-line verification of photon beam location and dose during cancer radiotherapy.

This technology introduces a novel Jones tube design utilizing nanopillars to significantly reduce biofilm formation, enhancing patient comfort and safety.

A revolutionary optical technology designed to restore peripheral vision in patients with eye diseases through the integration of optical metasurfaces on eyewear.

Brief description not available

Brief description not available

A revolutionary approach to wearable sensors that significantly extends read-out distances and improves reliability without the need for microelectronics.

Researchers at the University of California, Davis have developed a technology that significantly improves the timing and spatial resolution of PET scans using dual-ended readout detectors.

Glioblastoma is a malignant primary brain tumor that is highly invasive and infiltrative. Surgical resection and radiation therapy are not able to remove all tumor cells. Consequently, residual tumor is found in the majority of patients after surgery, causing early recurrence and decreased survival. Magnetic Resonance Imaging (MRI) is routinely used in the diagnosis, treatment planning and monitoring of glioblastoma. The contrast-enhancing region identified with MRI is generally used to guide surgery and to provide a reference for radiotherapy planning. While edema and non-enhancing regions surrounding the tumor arepotential sites of tumor infiltration, usually they are not included in surgical resection as routine MRI cannot differentiate tumorous tissues in those regions. UC Berkeley researchers have developed a novel MRI technique that can identify, non-invasively and in-vivo, areas of altered iron metabolism associated with tumor activities in the edema tissue surrounding glioblastoma. The technique uniquely delineates a hyperintense area within the edema. The method can be used to guide surgery and radiotherapy and to monitor treatment response.

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