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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
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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
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Cholesterol-modified Sphingomyelin Lipid Bilayer for Drug and Gene Delivery
This invention is a new type of lipid vesicle or liposome that can be used to encapsulate drugs and genes for therapeutic applications. It improves upon existing liposome formulations in its increased stability, subsequent increased circulation time, and effectiveness as a nanocarrier.
Background:
For many years, therapeutic drugs were released...
Published: 7/24/2024
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Inventor(s): Jianqin Lu, Zhiren Wang, Wenpan Li
Keywords(s):
Category(s): Technology Classifications > Life Sciences > Drug Delivery, Technology Classifications > Healthcare Portfolios > Oncology
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Maximize Enhancement and Augmentation for Ultra-High Heat Flux Heat Exchange
This invention provides a series of special designs to apply multiple jets for impingement heat exchange to have dramatically enhanced heat transfer and augmented heat transfer surface. Both high heat transfer coefficient and large heat transfer surface contribute to high heat transfer rate. Particularly for concentrating solar thermal receivers that...
Published: 8/1/2024
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Inventor(s): Peiwen Li
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences, Technology Classifications > Energy, Cleantech & Environmental > Renewable Energy
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Heat Recovery System from High Temperature Slag from Metal Refinery Process
This invention is a heat recovery system to obtain both the sensible and latent heat from the solidification and cooling process in refining copper. The invention will use a hot composition conveyor and a heat recovery apparatus to recover the heat from the metal refinery process. The heat recovery apparatus flushes the slag which will take the thermal...
Published: 8/1/2024
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Inventor(s): Peiwen Li, Abraham Jalbout, Dominic Gervasio
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Industrial & Manufacturing
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A Dual-Luciferase Reporter System for Characterization of Small RNA Target Genes in both Mammalian and Insect Cells
MicroRNAs (miRNAs) are regulatory RNA molecules that bind to target messenger RNAs (mRNAs) and affect the stability or translational efficiency of the bound mRNAs. Single or dual-luciferase reporter systems have been successfully used to identify miRNA target genes in mammalian cells, however, they are not sensitive enough to verify miRNA–target...
Published: 5/7/2024
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Inventor(s): Xianchun Li
Keywords(s):
Category(s): Technology Classifications > Research Tools > Reagents, Technology Classifications > Research Tools, Technology Classifications > Research Tools > Screening assays
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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
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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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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
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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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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
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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
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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
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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
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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
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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
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