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Systems, Methods, and Media for Determining Fetal Photoplethysmography Information from Non-Invasively Obtained Mixed Photoplethysmography Signals

Researchers at the University of California, Davis have developed a system and method for accurately extracting fetal photoplethysmography information from mixed maternal-fetal signals obtained non-invasively through the maternal abdomen.

Flexor Tendon Imaging Apparatus

Researchers at the University of California, Davis have developed a portable apparatus that standardizes digit positioning and applies counter-resistance for improved imaging of the flexor tendon system in the hand.

Reusable, Sterilizable Surgical Instruments for Deployment of Neuropixels Probes in the Operating Room

Researchers at the University of California, Davis have developed a system of reusable, sterilizable 3D-printed surgical tools that enables safe, precise intraoperative deployment of Neuropixels probes within standard neurosurgical workflows.

A Novel High-Resolution EEG Signal Acquisition System With A Unique EEG Cap Array

A breakthrough one-wire EEG cap with embedded electrode chips provides ultra-sensitive, noise-immune, wide-band brain signal acquisition. It enables non-invasive, real-time, high-resolution recording using dry electrodes, ideal for wearable and clinical neuro-technology applications.

Non-Invasive Tool That Assesses Bruise Injuries Across All Skin Types.

An innovative non-invasive device that accurately determines the age of bruises for all skin types and tones, designed to assist in forensic investigations and medical diagnostics.

Piezoelectric Scaffold Material and Its In Vivo Activation For Nerve Regeneration

Professor Jin Nam and colleagues from the University of California, Riverside have developed novel synthesize piezoelectric scaffolds that can be remotely activated without a physically connected electrical wire to produce optimal electric fields in vivo for enhanced nerve regeneration. The technology works by using a biocompatible nanofibrous scaffold with a mesh-like structure that mimics the body’s natural tissue architecture and is made from piezoelectric materials. This technology allows for the mechano-electrical stimulation (MES) on endogenous or transplanted stem cells to enhance their neural differentiation/maturation. This technology is advantageous because this scaffold can be applied as a conduit or patch and activated remotely and non-invasively.  Fig 1: In vivo characterization of piezoelectric conduits and their impact on sciatic nerve regeneration. (a) A photo showing the transplantation of the P(VDF-TrFE) conduit into the rat to bridge the sciatic nerve gap. (b) Shockwave magnitude-dependent voltage outputs from P(VDF-TrFE) conduits. (c) A zoomed-in voltage output graph showing the  generation of 200 mVp-p under the 4-bar pressure of the shockwave actuation. (d, e) Large-field-of-view immunofluorescence images showing the entire structure of P(VDF-TrFE) conduit and ingrowth tissue, bridging transected sciatic nerve in (d) static and (e) MES conditions (NF200: axonal marker NF200; S1-S4 denote each of the 4 rats in the static group while MES1-MES4 denote each of the 4 rats from the MES group).

Cherenkov-Based Radiation Beam Monitor

Researchers at the University of California, Davis have developed an innovative Cherenkov-based system for calibrating radiotherapy beams, enabling precise, real-time calibration of radiation dose delivery, including for high-intensity FLASH radiotherapy, improving treatment accuracy and reliability.

Hydrogelated Cells for Regenerative Medicine Applications

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.

System And Method Of EAT/US-Guided Pulsed Field Ablation For Intracardiac Applications

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

Inferring Dynamic Hidden Graph Structure in Heterogeneous Correlated Time Series

Current methods for treating nervous system disorders often rely on generalized approaches that may not optimally address the individual patient's specific pathology, leading to suboptimal outcomes. This innovation, developed by UC Berkeley researchers, provides a method to identify the most critical, or "influential," nodes within a patient's functional connectivity network derived from time-series data of an organ or organ system. The method involves obtaining multiple time-series datasets from an affected organ/system, using them to map the functional connectivity network, and then determining the most influential nodes within that network. By providing this specific and personalized information to a healthcare provider, a treatment can be prescribed that precisely targets the respective organ corresponding to these influential nodes. This personalized, data-driven approach offers a significant advantage over conventional treatments by focusing intervention on the most impactful biological targets, potentially leading to more effective and efficient patient care.

Using Machine Learning And 3D Projection To Guide Surgery

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.

Activation of Neural Tissue by FUS in the Presence of a Magnetic Field Gradient

The primary challenge in non-invasive brain stimulation, such as Transcranial Focused Ultrasound Stimulation (TFUS), is providing precise, localized, and mechanistically distinct control over neural activity. Standard TFUS is believed to function primarily through mechanical deformation of tissue, limiting the ability to selectively enhance or separate different types of neural modulation. Addressing this, UC Berkeley researchers have developed a novel system for the Activation of Neural Tissue by FUS in the Presence of a Magnetic Field Gradient. This unique mechanism, which generates electromagnetic induction from acoustic motion, provides a new physical mechanism to activate or modulate nervous tissue entirely separate from the mechanical effects of the ultrasound alone, offering a higher degree of experimental control and therapeutic precision compared to conventional FUS.

Intelligent Wound Healing Diagnostics and Treatments

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.

Photoactive Material Blends as Cardiac Photostimulators

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

Highly Stretchable And Conductive Inks For Printed Circuits

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

An Implantable Electrocorticogram (Ecog)-Brain-Computer Interface System For Restoring Lower Extremity Movement And Sensation

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

Protoacoustic Imaging for Real-Time Proton Therapy Guidance

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.

ThumbOT, a Portable Robotic Device for Quantitatively Assessing and Intensively Training Thumb Proprioception

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

Patient Pressure Injury Prevention Methods and Software

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.

Accurate, Non-Invasive Fetal Arterial Oxygen Saturation and Blood Ph Measurement via Diffuse Optics

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.

Patient-Ventilator Asynchrony Monitor

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.

Motorized Retinal Transplant Delivery Device And Method Of Use

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

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