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Search Results - xiaohui+liu
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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
Two Compartment Model for Detecting the Toxicity of Liver Metabolites
Overview Liver toxicity is a significant reason many new drugs fail in clinical trials. Primary human hepatocytes (PHHs) are the current gold standard for in vitro liver models; however, they have a number of limitations. We have invented an easy-to-use two-compartment device that provides in vitro 3D high-throughput prediction for safety assessments...
Published: 5/20/2024
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Inventor(s):
Kim Boekelheide
,
Jeffrey Morgan
,
Blanche Ip
,
Susan Hall
,
Hui Li
Keywords(s):
Category(s):
Diagnostics
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
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
Medical Time Series Representation Learning, known as MTS-LOF, uses the strengths of contrastive learning and Masked Autoencoder (MAE) methods, providing more sophisticated, context-rich representations, while also clarifying the interplay between temporal and structural dependencies in healthcare data. MTS-LOF is ideal for integration into numerous...
Published: 8/23/2024
|
Inventor(s):
Ao Li
,
Huayu Li
,
Ana Carreon-Rascon
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Web & Internet
,
Technology Classifications > Software & Information Technology > Health IT
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
The DeScoD-ECG model is a novel electrocardiogram (ECG) baseline wander and noise removal technology that extends the current diffusion model for reconstructing electrocardiogram signals. It establishes a new benchmark in biomedical signal processing to provide a more accurate approximation of ECG signals for detection of cardiovascular irregularities....
Published: 8/23/2024
|
Inventor(s):
Ao Li
,
Huayu Li
,
Gregory Ditzler
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Communications & Networking
,
Technology Classifications > Software & Information Technology > Open Source
,
Technology Classifications > Healthcare Portfolios > Heart and Vascular
,
Technology Classifications > Life Sciences > Diagnostics
DNA Methylation Barriers
In normal differentiated cells, most of the genome is densely methylated, except CpG islands near promoters of actively transcribed genes. Maintaining this boundary between unmethylated promoter-associated and adjacent methylated regions is crucial as loss of segregation can lead to disease. Unfortunately, it is not clear where these boundaries are,...
Published: 6/5/2024
|
Inventor(s):
Li Liu
,
Jingmin Shu
Keywords(s):
Category(s):
Applied Technologies
,
Genomic Assays/Reagents/Tools
,
Life Science (All LS Techs)
,
Diagnostic Assays/Devices
Deep Learning Algorithm for Detection of Cortical Arousal During Sleep
This invention is an end-to-end deep learning algorithm to detect cortical arousals during sleep using a one-night single lead electrocardiogram (ECG) signal. It is used to accurately detect arousal in home sleep tests, by reducing the false negative rate. The model combines both convolutional neural networks (CNN) and recurrent neural networks (RNN). Background: Sleep...
Published: 10/8/2024
|
Inventor(s):
Ao Li
,
Siteng Chen
,
Stuart Quan
,
Linda Powers
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Healthcare Portfolios > Sleep Disorders
,
Technology Classifications > Software & Information Technology > Health IT
Smart Environment-Aware Lower-Limb Robotic Prosthesis
Background Robotic prostheses have the potential to change the lives of millions of lower-limb amputees by providing critical support during legged locomotion. Powered protheses specifically enable complex capabilities including level-ground walking, running, or stair climbing, while also enabling reductions in metabolic cost and improvements in ergonomic...
Published: 10/17/2023
|
Inventor(s):
Xiao Liu
,
Heni Ben Amor
,
Geoffrey Clark
Keywords(s):
Artificial Intelligence
,
Rehabilitation Robotics
,
Robotics
Category(s):
Imaging
,
Physical Science
,
Computing & Information Technology
,
Applied Technologies
,
Medical Devices
,
Wireless & Networking
Virtual Reality Neuropsychological Assessment (VRNA) System
This technology is a computerized neuropsychological assessment system to rapidly measure cognitive and behavioral abilities and impairments. This system operates by extracting multiple, simultaneous performance metrics while the patient is in a virtual reality (VR) game-like scenario. As the patient is playing this challenging VR video game, the VRNA...
Published: 8/9/2023
|
Inventor(s):
William Killgore
,
Janet Roveda
,
Jerzy Rozenblit
,
Ao Li
,
Huayu Li
Keywords(s):
Category(s):
Technology Classifications > Healthcare Portfolios > Physical Medicine & Rehabilitation
,
Technology Classifications > Medical Devices > Diagnostic
,
Technology Classifications > Software & Information Technology > Health IT
,
Technology Classifications > Software & Information Technology > Mobile Application
,
Technology Classifications > Software & Information Technology > Bioinformatics
,
Technology Classifications > Software & Information Technology
Intelligent Multi-Beam Medium Access Control in Ku-Band for Mission-Oriented Mobile Mesh Networks
The Problem: There are existing similar technologies, but these technologies are not designed for mobile mission-oriented applications. The use of Ku-band frequency on two separate information transmission levels reduces interference common with current multi-beam antennas. Also, the Ku-band frequency is not the currently used frequency range...
Published: 2/27/2023
|
Inventor(s):
Fei Hu
,
xI Li
,
Sunil Kumar
Keywords(s):
Category(s):
Technology Classifications > Communication
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