Search Results - zhaohui+liu

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Pesticides and Methods For Treating Cercospora Leaf Spot Disease
Cercospora leaf spot (CLS), caused by Cercospora beticola, is the most widespread and destructive foliar disease in sugar beet crops, often leading to yield losses of up to 50%. Traditional control methods rely on fungicide sprays and resistant cultivars. However, fungicide-resistant fungal strains, environmental wash-off due to rain, and frequent reapplication...
Published: 5/19/2026   |   Updated: 1/30/2026   |   Inventor(s): Long Jiang, Mohiuddin Quadir, Raj Hazra, Zhaohui Liu
Keywords(s):  
Category(s): Technologies > Agriculture Technologies, Technologies, Technologies > Nanotechnology
DNA Nanotechnology Platform for 3D Nanoscale Manufacturing
Invention Description One of the main challenges in nanoscale manufacturing is achieving precise three-dimensional (3D) positioning and organization of materials. DNA nanotechnology, such as DNA origami, offers a solution to this problem by leveraging the predictable base-pairing properties of DNA to design and construct nanoscale structures with molecular...
Published: 5/20/2026   |   Updated: 1/5/2026   |   Inventor(s): Petr Sulc, Hao Liu, Thong Diep, Matthew Sample, Michael Matthies, Joshua Evans
Keywords(s):  
Category(s): Life Science (All LS Techs), Nucleic Acid/Peptide/Protein Therapies, Vectors/Constructs/Plasmids, Biological Nanotechnology
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   |   Updated: 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
Methods and Sequences for mRNA and Other HIV Vaccine Development
Unique sequences eliciting broadly neutralizing antibodies (bNAbs) against human immunodeficiency virus (HIV) that could be used to develop effective mRNA-based and other types of HIV vaccine. Problem: Despite decades of research, there is currently no vaccine to prevent HIV infection. A major goal of HIV vaccine programs is to generate bNAbs, which...
Published: 8/1/2025   |   Updated: 3/31/2025   |   Inventor(s): George Shaw, Edward (Ted) Kreider, Beatrice Hahn, Ashwin Skelly, Hui Li, Drew Weissman
Keywords(s): Bioengineering, HIV/AIDS, Immunology, Infectious Disease, Protein/Peptide (Non-Antibody)
Category(s): Technology Classifications > Vaccines
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   |   Updated: 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
Two Compartment Model for Detecting the Toxicity of Liver Metabolites
Overview Liver toxicity is a significant reason many new drugs fail in clinical trials. Primary human hepatocytes (PHHs) are the current gold standard for in vitro liver models; however, they have a number of limitations. We have invented an easy-to-use two-compartment device that provides in vitro 3D high-throughput prediction for safety assessments...
Published: 10/31/2025   |   Updated: 5/20/2024   |   Inventor(s): Kim Boekelheide, Jeffrey Morgan, Blanche Ip, Susan Hall, Hui Li
Keywords(s):  
Category(s): Diagnostics
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   |   Updated: 5/2/2024   |   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: 2/26/2025   |   Updated: 5/2/2024   |   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
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: 2/26/2026   |   Updated: 4/5/2024   |   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: 7/8/2025   |   Updated: 3/28/2024   |   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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