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Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...
Published: 6/25/2025
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Inventor(s):
Aydogan Ozcan
,
Ertugrul Taciroglu
,
Yuntian Wang
,
Yuhang Li
Keywords(s):
3D structures
,
Adaptive Optics
,
AI-generated images and content
,
all-optical diffractive computing
,
all-optical transformation
,
analog computing
,
analog optical computing
,
Analogue Electronics
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
artificial-intelligent materials
,
civil engineering
,
civil infrastructure
,
civil monitoring
,
computational imaging
,
computational imaging task
,
Construction
,
deep diffractive network
,
Diffraction
,
diffractive design
,
diffractive image reconstruction
,
diffractive network
,
diffractive processor
,
diffractive surface
,
digital image reconstruction
,
electromagnetic spectrum
,
Electro-Optics
,
Image Analysis
,
Image Processing
,
Image Resolution
,
image restoration
,
image signal processing
,
Imaging
,
Infrastructure
,
Lens (Optics)
,
linear optics
,
Nanostructure
,
optical processor
,
optically-guided structural monitoring
,
Optics
,
passive light-matter interactions
,
security imaging
,
Signal Reconstruction
,
Structural health monitoring
,
structural health monitoring (SHM)
,
structure monitoring
,
Structures
Category(s):
Electrical
,
Electrical > Signal Processing
,
Electrical > Imaging
,
Materials
,
Materials > Construction Materials
,
Electrical > Visual Computing
,
Electrical > Computing Hardware
,
Electrical > Instrumentation
,
Energy & Environment
,
Energy & Environment > Energy Efficiency
,
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Programs
Positive Unlabeled Learning With Bias Mitigation for Fair Prediction of Undiagnosed Alzheimer’s Disease (Case No. 2025-113)
Summary: UCLA researchers in the Department of Neurology have developed a software to predict the diagnosis of Alzheimer’s Disease without racial or ethnic biases. Background: Alzheimer’s Disease (AD) represents a major health and economic challenge in the United States. Despite its prevalence, Alzheimer’s remains significantly...
Published: 2/14/2025
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Inventor(s):
Timothy Chang
Keywords(s):
Alzheimers disease
,
artificial intelligence/machine learning models
,
electronic health records (EHR)
,
medical bias reduction
,
Neurodegeneration Alzheimer's Disease Predictive Testing
,
neurological disorders
,
Neurology
,
personalized medicine
Category(s):
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Programs
,
Diagnostic Markers > Aging
,
Therapeutics > CNS and Neurology
Aerodynamics-Guided Machine Learning for Design Optimization of Vehicles (Case No. 2024-221)
Summary: UCLA researchers have developed a computational method to rapidly generate vehicle designs with maximum aerodynamic efficiency. Background: The global shift towards electric vehicles (EVs) has opened new opportunities in automobile design with stylistic and functional benefits. Unlike combustion engine vehicles, EVs lack a large engine...
Published: 5/1/2025
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Inventor(s):
Kunihiko Taira
,
Jonathan Tran
,
Kai Fukami
Keywords(s):
Category(s):
Software & Algorithms
,
Software & Algorithms > Programs
,
Materials
,
Materials > Functional Materials
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Statistical Models
Copyright: Large Language Models for Electronic Health Records (Case No. 2024-216)
Intro Sentence: UCLA researchers from the Department of Computational Medicine have developed a novel model for tabulating electronic health records. Background: Electronic Health Records (EHR) provide healthcare systems with insights into health histories. Machine learning models have been developed to use EHR for inference tasks based on specific...
Published: 2/14/2025
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Inventor(s):
Jeffrey Chiang
,
Simon Lee
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
clinical decision support
,
EHR
,
EHR integration
,
electronic health records (EHR)
,
Hospital Systems And Devices
,
lab results analysis
,
large language model (LLNMs)
,
Machine Learning
,
machine learning modeling
,
patient questionnaire
,
personalized medicine
,
predictive analytics
,
specialist referral
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
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Software & Algorithms > Data Analytics
,
Software & Algorithms > Programs
,
Medical Devices
,
Medical Devices > Hospital Systems
Comprehensive and Individualized Menopause Care Delivery Protocol With Technological Decision Support Aid (Case No. 2024-193)
Summary: Researchers in the UCLA Department of Obstetrics and Gynecology have developed a new clinical decision support system for improved menopause care. Background: Each year, approximately 1.3 million women in the United States enter menopause. This is often accompanied by symptoms such as hot flashes, mood changes, and sleep issues. In addition,...
Published: 2/14/2025
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Inventor(s):
Rajita Patil
,
Erica Oberman
,
Brittany Davis
,
Rhonda Voskuhl
,
Kathleen Van Dyk
,
Ravi Aysola
,
Louise Dixon De Silva
,
Karol Watson
,
Lua Jafari
,
Julie Bernthal
,
Rashmi Mullur
,
Albert Shieh
,
Elizabeth Ko
,
Katie Hu
,
Aashini Master
,
Kelly Mccann
,
Kelsey Collins
,
Katherine Unverferth
,
Tamara Grisales
,
Amy Rosenman
,
Andrea Rapkin
Keywords(s):
clinical care methodology
,
clinical decision support
,
EHR
,
EHR integration
,
electronic health records (EHR)
,
FemTech
,
femtech medical device
,
lab results analysis
,
medical bias reduction
,
Menopause
,
menopause management
,
patient questionnaire
,
period
,
personalized medicine
,
predictive analytics
,
specialist referral
,
women’s health
Category(s):
Software & Algorithms
,
Software & Algorithms > Programs
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Medical Devices
,
Medical Devices > FemTech
MEDREX (Case No. 2024-244)
Summary: UCLA researchers have developed a new software package to reconcile medication lists between different electronic health records. Background: Reconciliation is a crucial process that ensures patients’ medication lists are accurate. Transitioning between facilities using different electronic health record (EHR) systems can exacerbate...
Published: 6/2/2025
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Inventor(s):
Li Zhou
,
Richard Korf
,
Cindy Liu
,
Edmond Wen
,
Advaith Gowrishetty
,
Jonathan Xu
,
Nicole Ju
Keywords(s):
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Programs
,
Software & Algorithms > Data Analytics
Contracted Quantum Eigensolver for Excited States (Quantum Algorithm) (Case No. 2023-180)
Summary: UCLA researchers from the Division of Physical Sciences and Engineering have developed a quantum algorithm that can calculate excited states in quantum computing. Background: Quantum computing operates based on the principle of superposition. While the bits used in classical computing exist in binary (0 or 1), bits in quantum computing...
Published: 2/14/2025
|
Inventor(s):
Prineha Narang
,
Scott Smart
,
Davis Dave Welakuh Mbangheku
Keywords(s):
Category(s):
Electrical
,
Electrical > Quantum Computing
,
Software & Algorithms
,
Software & Algorithms > Programs
,
Software & Algorithms > Statistical Models
A Programming Language to Execute Biological Experiments (Command Line Biology/Biowrapper) (Case No. 2024-049)
Intro Sentence: UCLA researchers in the Department of Molecular and Medical Pharmacology have developed a programming language to automate biological experiments. Background: Manual labor is a common bottleneck in biological sciences, with automation technology still being unobtainable and impractical for most scientists in biomedical research....
Published: 5/8/2025
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Inventor(s):
Robert Damoiseaux
,
Michael Mellody
,
Ronan Bennett
,
Alejandro Huerta
,
Rutu Shah
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence augmentation
,
Artificial Neural Network
,
artificial-intelligent materials
,
Automation
,
generative artificial intelligence
,
Machine Learning
,
machine learning modeling
,
Medical artificial intelligence (AI)
,
Programmable Logic Device
Category(s):
Software & Algorithms
,
Software & Algorithms > Data Analytics
,
Software & Algorithms > Programs
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Image Processing
,
Life Science Research Tools
,
Life Science Research Tools > Research Methods
2023-131 A Method for Video Motion Detection, Segmentation, and Compression
Summary: UCLA Researchers in the Department of Electrical and Computer Engineering have developed a new computationally efficient algorithm that detects and tracks motion in videos. Background: Computer vision and video processing have many applications in visual security and surveillance such as people counting, action recognition, anomaly detection,...
Published: 2/14/2025
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Inventor(s):
Bahram Jalali
,
Yiming Zhou
,
Callen MacPhee
Keywords(s):
Autonomous driving
,
computational imaging
,
Computer Monitor
,
Computer Security
,
Computer Vision
,
computer vision algorithm
,
Computer-Aided Design
,
data Compression
,
Data Recovery
,
Energy Security
,
event detection
,
Human tracking
,
Image Analysis
,
image and video enhancement
,
Image Processing
,
image restoration
,
Liquid tracking
,
Metal process monitoring
,
motion detection
,
object recognition
,
real-time sensing/monitoring/tracking
,
security
,
Security and defense
,
security imaging
,
Structural health monitoring
,
Vibration monitoring
,
Vibration sensing
,
video pre-processing
,
video processing
,
visual security and surveillance
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Security & Privacy
,
Software & Algorithms > Programs
2017-730 Reducing Computational Complexity of Training Algorithms for Artificial Neural Networks
Summary: Researchers at UCLA have developed a novel mathematical theorem to revolutionize the training of large-scale artificial neural networks (ANN). Background: Artificial neural networks (ANNs) have gained popularity in recent years due to their exceptional performance and applicability to a wide array of machine learning applications. ANNs digitally...
Published: 2/14/2025
|
Inventor(s):
Khalid Youssef
,
Louis-Serge Bouchard
Keywords(s):
Advanced Computing / AI
,
Life Science Research Tools
,
Medical Imaging
,
Software
,
Software & Algorithms
Category(s):
Life Science Research Tools
,
Software & Algorithms
,
Medical Devices > Medical Imaging
,
Electrical > Quantum Computing
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Programs
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