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AI-Powered MRI Platform: Advancing High-Throughput Diagnostics and Biomarker Extraction for Joint Health
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AI-Powered qAAMP Biomarker Technology: Transforming Mucus Plug Diagnostics for Asthma and COPD Precision Medicine
Time-Resolved Magnetic Resonance Fingerprinting (TRMRF): A Novel Algorithm for Accelerated Multi-Parametric Quantitative MRI and Enhanced Diagnostic Imaging
Non-Invasive AI-Based Retinal Inflammation Detection and Severity Estimation Using OCT B-Scans
Researchers at the University of California, Davis have developed a machine learning system that accurately detects and estimates retinal inflammation severity in uveitis patients using non-invasive OCT B-scan images.
A Compact Platform For The Deterministic Assembly Of Microfluidic Droplets
Collimated Compton Camera
Biophysically-Informed Deep Learning Model for Predicting Individualized Alzheimer’s Disease Progression
Collimatorless Combined Compton And Proximity Imaging Technology
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.
Sealed Mesoporous Silica Nanoreactors for Accurate X-Ray Dosimetry and Nanochemistry Applications
Researchers at the University of California, Davis have developed a novel nanotechnology platform that uses sealed mesoporous silica nanoreactors to accurately measure X-ray doses and dose enhancement factors in complex environments. These nanoreactors encapsulate chemical probe molecules inside sealed cavities, enabling precise, interference-free measurements even in the presence of catalysts, scavengers, or other reactive species.
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.
Semiconductor Lateral Drift Detector for Imaging X-rays
Researchers at the University of California, Davis have developed a solid-state X-ray imager with high temporal resolution.
Synthetically Generating Medical Images Using Deep Convolutional Generative Adversarial Networks.
An advanced AI-driven system for synthetic medical data generation and precise segmentation of cardiac MRI to enhance accuracy and efficiency in cardiovascular health.
Nanoplatform for Cancer Therapy
Researchers at the University of California, Davis have developed a nanoparticle system combining photothermal therapy and chemotherapy for enhanced cancer treatment.
Dual-Grid Multi-Source X-ray Tube
Researchers at the University of California, Davis have developed an advanced multi x-ray source array system employing dual cathode designs that enhance computed tomography (“CT”) imaging by enabling pulsed, spatially multiplexed x-ray emission with reduced artifacts.
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.
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.
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.
Non-Invasive Cervical Dilation Monitoring
An innovative ultrasound-based device designed to measure cervical dilation and potentially monitor fetal conditions more accurately and less invasively during labor.
3D Cardiac Strain Analysis
An advanced geometric method for comprehensive 3D cardiac strain analysis, enhancing diagnosis and monitoring of myocardial diseases.
X-ray-induced Acoustic Computed Tomography (XACT) for In Vivo Dosimetry
This technology leverages X-ray-induced acoustic phenomena for real-time, in-line verification of photon beam location and dose during cancer radiotherapy.
Enzymatic Introduction Of Thiol Handle On Tyrosine-Tagged Proteins
Site-selective covalent modification of proteins is key to the development of new biomaterials, therapeutics, and other biological tools. As examples in the biomedical field, these techniques have been applied to the construction of antibody-drug conjugates, bispecific cell engagers, and targeted protein therapies, among other applications. While many bioconjugation strategies, such as azide-alkyne cycloaddition or thiol-maleimide coupling, have become widely adopted, the improvement of existing techniques is a highly active area of chemical biology research, as is the development of new synthetic applications of these methods. Key focuses of such efforts include increasing reaction efficiency and ease, balancing selectivity with tag size, and expanding the modification options beyond traditional cysteine and lysine residues. UC Berkeley researchers have developed compounds and methods using tyrosinase to couple small-molecule dithiols to tyrosine-tagged proteins, which effectively introduces a free thiol handle and provides a convenient method to bypass genetic incorporation of cysteine residues for bioconjugation. These newly thiolated proteins were then coupled to maleimide probes as well as other tyrosine-tagged proteins. The researchers were also able to conjugate targeting proteins to drugs, fluorescent probes, and therapeutic enzymes. This easy method to convert accessible tyrosine residues on proteins to thiol tags extends the use of tyrosinase-mediated oxidative coupling to a broader range of protein substrates.
A Combined Time-Walk and Timing-Shift Correction Method for Dual-Ended Readout TOF-DOI PET Detector
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.
Tumor Infiltration Detection And Cell Density Mapping
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.
System And Methods For Acoustic Monitoring Of Electron Radiotherapy
A novel technology for real-time, non-invasive monitoring and adaptive control of electron radiotherapy treatments using acoustic signals.