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Search Results - daiqing+liao
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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
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
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: 8/23/2024
|
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
Recovering Critical Elements from Acid Mine Drainage
THE CHALLENGE The demand for certain elements, such as Manganese (Mn), Cobalt (Co), and Nickel (Ni), has surged in recent years due to the rapid growth of battery production for electric vehicles and utility-scale energy storage. The United States government has deemed Co, Ni, and Mn critical elements, primarily because of the country’s high...
Published: 6/26/2024
|
Inventor(s):
Wencai Zhang
,
Qi Li
,
Rick Honaker
Keywords(s):
Category(s):
Technology Classifications > Energy
,
Technology Classifications > Mining and Recycling
,
Technology Classifications
,
Technology Classifications > Chemicals/Materials
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
PMU-Embedded Analytics for Online Event Detection and Classification in Power Grids
The energy requirement of the world is increasing exponentially every year. With the power demand sites concentrated in the region with the highest population density, energy production sites must be located remotely. This isolation requires lengthy and complicated grids to be designed and manufactured to transmit power over long distances. Grid failures...
Published: 7/30/2024
|
Inventor(s):
Payman Dehghanian
,
Shiyuan Wang
,
Li Li
Keywords(s):
Category(s):
Technology Classifications > Industrial or Consumer Tech > Energy Infrastructure and Environment
Artificial Neural Network Based Sleep Disordered Breathing Screening
Early detection of sleep disorders. Artificial Neural Network Based Sleep Disordered Breathing Screening.
Published: 8/23/2024
|
Inventor(s):
Ao Li
,
Stuart Quan
,
Janet Roveda
Keywords(s):
Category(s):
Technology Classifications > Software & Information Technology > Health IT
,
Technology Classifications > Software & Information Technology > Web & Internet
,
Technology Classifications > Software & Information Technology > Databases & Data Mining
Anticancer Compounds That Selectively Target and Destroy Cancer-Related Proteins
Demonstrates In Vivo Safety and Efficacy in Breast Cancer Models This set of anticancer compounds selectively degrades or inhibits cancer-related histone deacetylase proteins. These proteins are commonly overexpressed in various cancer types, and class I histone deacetylase proteins activate oncogenes that cause tumor formation, cancer progression,...
Published: 12/1/2021
|
Inventor(s):
Daiqing Liao
,
Xuan Zhang
,
Yufeng Xiao
,
William Roush
,
Ryan Stowe
,
Guangrong Zheng
Keywords(s):
Category(s):
Technology Classifications > Human Health Care > Therapeutics
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