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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: 5/2/2024
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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: 5/2/2024
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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: 5/2/2024
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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: 5/2/2024
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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: 5/2/2024
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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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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: 5/2/2024
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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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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: 3/28/2024
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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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Small Molecules with Antifungal Activity for Cryptococcosis
Researchers at the University of Arizona have found 140 novel antifungal compounds with the potential to treat cryptococcosis. These compounds have anti-Cryptococcus neoformans activity with IC50 less than 10 uM.
Background:
Fungal infections, although not very contagious, have affected 300 million people worldwide. Cryptococcosis is caused by opportunistic...
Published: 1/10/2024
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Inventor(s): Hongmin Li, Anil Tharappel, Zhong Li
Keywords(s):
Category(s): Technology Classifications > Life Sciences > Therapeutics, Technology Classifications > Healthcare Portfolios > Infectious Diseases
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Small Molecules with Antifungal Activity for Cryptococcosis
Researchers at the University of Arizona have found 140 novel antifungal compounds with the potential to treat cryptococcosis. These compounds have anti-Cryptococcus neoformans activity with IC50 less than 10 uM.
Background:
Fungal infections, although not very contagious, have affected 300 million people worldwide. Cryptococcosis is caused by opportunistic...
Published: 1/10/2024
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Inventor(s): Hongmin Li, Anil Tharappel, Zhong Li
Keywords(s):
Category(s): Technology Classifications > Life Sciences > Therapeutics, Technology Classifications > Healthcare Portfolios > Infectious Diseases
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