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Search Results - xiaojie+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
Fire-retardant and Spectrally Robust Melamine Formaldehyde Photonic Bulk for Efficient Daytime Radiative Cooling
INV-21082 Background: Advances in cooling technologies are essential due to rising global energy consumption driven by the need for comfortable indoor environments. Sub-ambient passive daytime radiative cooling offers a promising solution by radiating heat into space while reflecting most sunlight. However, current materials like porous polymer films...
Published: 9/10/2024
|
Inventor(s):
Yi Zheng
,
Yanpei Tian
,
Xiaojie Liu
Keywords(s):
fire retardant
,
passive radiative cooling
,
photonic bulk
,
spectrally robust
Category(s):
Technology Classifications > 2. Physical Science
Novel treatment for pseudomyxoma peritonei
Reference #: 1692 The University of South Carolina is offering licensing opportunities for Novel treatment for pseudomyxoma peritonei. Background: Pseudomyxoma peritonei (PMP) is a rare cancer, which originates as an appendiceal neoplasm. Due to its usually poor vascularization and floating as nodules, PMP spreads easily to the peritoneal cavity,...
Published: 6/11/2024
|
Inventor(s):
Jie Li
,
Daping Fan
,
Hexin Chen
,
Traci Testerman
Keywords(s):
Category(s):
Biomedical and Life Sciences
,
Health Sciences
Immunomodulating Activities of Alistipes and Its Metabolites: Mechanism and Application
Reference #: 1678 The University of South Carolina is offering licensing opportunities for Immunomodulating Activities of Alistipes and Its Metabolites: Mechanism and Application. Background: The gut microbiota plays a key role in health and disease. The balance between beneficial genera (such as Alistipes and Odoribacter) and harmful species (such...
Published: 8/13/2024
|
Inventor(s):
Jie Li
,
Hexin Chen
,
Daping Fan
Keywords(s):
Category(s):
Biomedical and Life Sciences
,
Health Sciences
High Frequency Wireless Power Transmitting Coils with Self-Resonant Architecture
The Problem: Wireless power transfer (WPT) is an upcoming and lucrative technology that is being readily developed for use in mobile electronics, robotics, medical devices, and electric vehicles. However, modern wireless power devices retain several issues that prevent full technological optimization such as high cost, heavy weight, sensitivity to...
Published: 6/7/2024
|
Inventor(s):
Daniel Costinett
,
Jie Li
,
Ruiyang Qin
Keywords(s):
Category(s):
Energy
,
Engineering
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: 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
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