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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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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: 2/26/2025
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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: 2/26/2025
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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: 1/17/2025
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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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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
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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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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: 3/14/2025
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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
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Artificial Neural Network Based Sleep Disordered Breathing Screening
Early detection of sleep disorders. Artificial Neural Network Based Sleep Disordered Breathing Screening.
Published: 1/17/2025
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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
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Cell Cycle Nucleic Acids, Polypeptides and Uses Thereof - Wee1
This invention improves transformation frequency by changing levels of protein expression in the target cells, altering the cell cycle, specifically by modulating the activity of a gene known as RB3 which influences the cell's progression from G1 to S phase in the cell cycle. Overexpression of RB3 can be induced through existing methods of transient...
Published: 4/3/2023
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Inventor(s): Paolo Sabelli, Yan Liu, Chunsheng Zhang, William Gordon-Kamm, Keith Lowe, Matthew Bailey, Xun Wang, Carolyn Gregory, George Hoerster, John Mcelver, Shane Abbitt, Benjamin Bowen, Brian Larkins, Brian Dilkes, Ricardo Dante, Yeujin Sun
Keywords(s):
Category(s): Technology Classifications > Agriculture & Horticulture, Technology Classifications > Life Sciences, Technology Classifications > Agriculture & Horticulture > Crop Improvement, Technology Classifications > Life Sciences > Therapeutics
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Distributed Feedback Fiber Laser Pumped by Multimode Diode Lasers
Researchers at the University of Arizona College of Optical Sciences and Canada's Carleton University recently succeeded in fabricating high reflectivity (>99%) Fiber Bragg Gratings (FBGs) into phosphate glass fibers using UV light and a phase mask technique. With this new manufacturing technique, fiber lasers can be created as single monolithic...
Published: 4/3/2023
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Inventor(s): Nasser Peyghambarian, Axel Schülzgen, Li Li, Jacques Albert
Keywords(s):
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Lasers & Other Sources
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All-Fiber Multicore Fiber Laser Devices
Researchers at the University of Arizona have developed a compact, power-scalable, alignment-free fiber laser that takes a new approach to stabilizing phase-locked operation of multi-core fiber lasers by completely removing all free space optical components. This high-brightness, all-fiber laser package uses passive optical fiber spliced at both ends...
Published: 4/3/2023
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Inventor(s): Nasser Peyghambarian, Axel Schülzgen, Li Li
Keywords(s):
Category(s): Technology Classifications > Imaging & Optics, Technology Classifications > Imaging & Optics > Fiber Optics, Technology Classifications > Imaging & Optics > Lasers & Other Sources
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