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Transgenic Mouse Model for Marfan Syndrome Research
Description: A genetically modified mouse model carrying the FBN1Q2469X mutation enables advanced study of systemic Marfan Syndrome manifestations and therapeutic development. This innovative transgenic mouse model incorporates a mutation analogous to the human FBN1Q2467X gene mutation linked to Marfan Syndrome, resulting in fibrillin-1 deficiency...
Published: 12/23/2025   |   Inventor(s): Li Li, Shichao Wu, Jiawei Zhao
Keywords(s):  
Category(s): Technology Category > Research tools, Technology Category > Animal models, Technology Category > Biology, Technology Category > Diagnostic
Multi-parametric Acoustic, Optical and Mechanical Imaging of Cervical Tissue Insufficiencies to Predict Preterm Birth
An enhanced image-guidance system that integrates ultrasound and photoacoustic into existing ablation systems to provide an enhanced image-guidance system for identification of cervical tissue changes during pregnancy and postpartum. Technology Summary Preterm delivery is a main cause of perinatal morbidity and mortality worldwide, which is associated...
Published: 10/1/2025   |   Inventor(s): Mohammad Mehrmohammadi, Sonia Hassan, Edgar Hernandez-Andrade, Yan Yan, Maryam Basij
Keywords(s): Driving Lifelong Health
Category(s): Technology Category > Women's Health, Technology Category > Medical Devices, Technology Category > Life Science, Technology Category > Imaging, Technology Category > Acoustics
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: 2/26/2025   |   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: 2/26/2025   |   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
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: 7/8/2025   |   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
An OCT method to improve scleral lens fitting
Summary The current technology allows for accurate and objective 3-dimensional (3D) mapping of the external limbus, which could ultimately improve the process of scleral lens fitting. Technology Overview Rigid scleral lenses are difficult to fit to patients because they must rest on the eye but vault over the cornea and the limbus, which is the transition...
Published: 9/4/2025   |   Inventor(s): David Huang, Yan Li, Clara Llorens Quintana
Keywords(s): Imaging, Imaging - Other, Software, Software - Diagnostic/Detection
Category(s): Imaging, Software
High-Throughput Direct-Measurement of Telomere Length
Telomeres are linear chromosome end-capping repetitive DNA sequences. They serve to protect the ends of chromosomes from undesirable fusion events, thus integrity and length are crucial for stability. Natural attrition as well as mutations can affect telomere integrity and length resulting in chromosome instability, senescence, cell death and human...
Published: 2/13/2025   |   Inventor(s): Julian Chen, Yang Li, Dhenugen Logeswaran
Keywords(s):  
Category(s): Bioanalytical Assays, Chemistries & Devices, Diagnostic Assays/Devices, Genomic Assays/Reagents/Tools, Life Science (All LS Techs), Medical Diagnostics/Sensors
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   |   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
Learning Sparse Features for Self-Supervised Learning with Contrastive Dual Gating
The success of conventional supervised learning relies on large-scale labeled datasets to achieve high accuracy. However, annotating millions of data samples is labor-intensive and time-consuming. This promotes self-supervised learning as an attractive solution with artificial labels being used instead of human-annotated ones for training. Contrastive...
Published: 2/13/2025   |   Inventor(s): Jae-Sun Seo, Jian Meng, Li Yang, Deliang Fan
Keywords(s): Algorithm Development, Machine Learning, Performance Optimization, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
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