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Search Results - zhao+zhao
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BASH-GN: A New Machine Learning–Derived Questionnaire for Screening Obstructive Sleep Apnea
BASH-GN is a machine learning-based questionnaire designed to classify the risk of obstructive sleep apnea (OSA) by considering various risk factor subtypes. Compared with other commonly used OSA screening tools, the BASH-GN questionnaire demonstrated superior performance, making it a more effective option for identifying at-risk individuals. This questionnaire...
Published: 9/23/2024
|
Inventor(s):
Ao Li
,
Jiayan Huo
,
Stuart Quan
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Health IT
,
Technology Classifications > Life Sciences > Diagnostics
,
Technology Classifications > Healthcare Portfolios > Sleep Disorders
Nanoscale Metalbeating: Solid-State Transformation of 0D and 1D Gold or other metal Nanoparticles to Anisotropic 2D Morphologies
Advantages: Consistent transformation of nanoparticles. Scalable production method. More efficient than traditional techniques. Produces high-quality nanomaterials. Summary: Efficient, scalable techniques to produce thin gold layers with controlled properties are essential for advanced applications in electronics, photonics, membrane filtration,...
Published: 9/16/2024
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Inventor(s):
Cai Mike Wang
,
Huijuan Zhao
,
Catherine Murphy
,
Md Rubayat-E Tanjil
,
Tanuj Gupta
,
Matthew Gole
Keywords(s):
Nanotechnology
Category(s):
Technology Classifications > Advance Materials > A/M Manufacturing
,
Technology Classifications > Engineering > Chemical Engineering
,
Technology Classifications > Electronics > Nanotechnology
A Tissue-Like Multimodal Neural Probe (Case No. 2024-108)
Summary: UCLA researchers in the Department of Materials Science and Engineering have developed a novel self-softening and biocompatible polymer to be used in a neural probe. Background: Implantable bioelectronics are revolutionizing the diagnosis and treatment of neurological and neuropsychiatric disorders. Compared with noninvasive approaches,...
Published: 9/20/2024
|
Inventor(s):
Anne Andrews
,
Qibing Pei
,
Zhixin Xie
,
Chuanzhen Zhao
Keywords(s):
bioelectronics
,
neural stimulation
,
Neuroimaging
,
Neurointervention
,
neurological disorders
,
Neuromodulation
,
Neuropsychological Test
,
Polymer
,
Smart Material
,
soft robotics
,
thermal stability
,
Tissue (Biology)
Category(s):
Chemical
,
Chemical > Polymers
,
Medical Devices > Neural Stimulation
,
Therapeutics > CNS and Neurology
,
Materials > Nanotechnology
PanoRadar: A High Resolution, Radio Frequency-Based 3D Imaging System
A radio frequency-based 3D imaging system that can generate LiDAR-comparable images with reduced power and processing needs. Problem: With the emergence of robotic and autonomous systems in areas such as transportation, search and rescue, construction, healthcare assistance, and warehouse management, radio frequency (RF) signal-based sensing and imaging...
Published: 8/26/2024
|
Inventor(s):
Mingmin Zhao
,
Gaoxiang Luo
,
Yifei Li
,
Haowen Lai
Keywords(s):
Artificial Intelligence (AI) & Machine Learning
,
Autonomous Vehicles
,
Imaging Agents
Category(s):
Technology Classifications > Computer Information Systems
,
Technology Classifications > Hardware & Components
,
Technology Classifications > Imaging
Squeezed Light Field Microscopy (SLIM) (Case No. 2024-153)
Summary: UCLA researchers in the Department of Bioengineering have developed a computational imaging method that enables detection of 3D light signals using only a single camera sensor area for optimized surgical visualization. Background: Surgical procedures necessitate high precision imaging, especially when targeting specific anatomical structures....
Published: 8/5/2024
|
Inventor(s):
Liang Gao
,
Zhaoqiang Wang
,
Ruixuan Zhao
Keywords(s):
3D tissue imaging
,
computational imaging
,
image-guided surgery
,
Imaging
,
Microscopy
,
Microscopy And Imaging
,
Neuroimaging
Category(s):
Life Science Research Tools > Microscopy And Imaging
,
Medical Devices > Medical Imaging > Fluorescence
Solid-state electrolyte interface layer
Background Solid-state batteries (SSBs) hold immense potential for energy storage due to their enhanced safety and energy density compared to lithium-ion batteries. However, a critical challenge hindering their commercialization is the instability at the electrode-solid-state electrolyte (SSE) interface, leading to poor cycle life and safety concerns....
Published: 8/1/2024
|
Inventor(s):
David Mitlin
,
Hongchang Hao
Keywords(s):
Category(s):
Physical sciences > Energy > Batteries/energy storage
In the Americas Season 10
In the Americas with David Yetman is an HDTV series that takes an in depth look at the heartland of Arizona, New Mexico, Sonora, and Chihuahua, and its peripheries and brings the region into the spotlight for the general audience. This show undertakes a new approach to travel and adventure with a focus on the western continents and islands. Season 10...
Published: 7/29/2024
|
Inventor(s):
A Departmental Work
Keywords(s):
Category(s):
Technology Classifications > Creative Works
Core Administrative Program Suite
This technology comprises a comprehensive set of user-friendly business tools designed to enhance and streamline Core Facilities operations. It includes features like managing purchasing requests, reconciling procurement cards (p-cards), and controlling inventory. These tools are specifically tailored to meet the needs of Core Facilities, providing...
Published: 7/10/2024
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Inventor(s):
A Departmental Work
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Education & Training
Efficient MR fingerprinting using B-splines to improve (quantitative) MRI
Background/problem Magnetic resonance imaging (MRI) is a state-of-the-art diagnostic imaging modality which beneficially features excellent soft tissue contrast and lacks use of ionizing radiation. In clinical practice, MRI generates contrast-weighted images based on the intrinsic tissue parameters of the subject, which are then interpreted by a radiologist....
Published: 5/24/2024
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Inventor(s):
Bo Zhao
,
Evan Crafts
Keywords(s):
Category(s):
Life sciences > Imaging
,
Life sciences > Diagnostic
A Transformer-Based Diffusion Probabilistic Model for Vital Signs Forecasting
The model proposed in this technology, Transformer-based Diffusion Probabilistic Model for Sparse Time Series Forecasting (TDSTF), is a novel deep-learning algorithm that can be used for vital signs forecasting, data synthesis, simulation, and digital twins. Trained and tested on data from over 46,000 patients, the TDSTF technology merges transformer...
Published: 8/23/2024
|
Inventor(s):
Ao Li
,
Ping Chang
,
Huayu Li
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Health IT
,
Technology Classifications > Software & Information Technology > Web & Internet
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