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Search Results - machine+learning+modeling
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Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....
Published: 7/23/2025
|
Inventor(s):
Xiang Chen
,
Youngseung Jeon
,
Christopher Hwang
Keywords(s):
3D tissue imaging
,
AI-guided diagnostics
,
AI-guided medical imaging
,
AI-guided medical intervention
,
arthritis
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
Artificial Neural Network
,
bioimaging
,
Computer-Aided Diagnosis
,
computer-aided radiology
,
Diagnostic Markers & Platforms
,
Diagnostic Test
,
diagnostics
,
generative artificial intelligence
,
Image Analysis
,
Image Resolution
,
Imaging
,
infrared thermal imaging
,
Machine Learning
,
machine learning modeling
,
machine perception
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Medical artificial intelligence (AI)
,
Medical diagnostics
,
Medical Imaging
,
Microscopy And Imaging
,
non-invasive imaging
,
osteoarthritis
,
radial MRI
,
radiologic imaging
,
Radiology
,
Radiology / Radiomitigation
,
radiosurgery
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Life Science Research Tools
,
Life Science Research Tools > Lab Equipment
,
Life Science Research Tools > Microscopy And Imaging
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Therapeutics
,
Therapeutics > Musculoskeletal Disease
,
Therapeutics > Radiology
Subgraph Matching for High-Throughput DNA-Aptamer Secondary Structure Classification and Machine Learning Interpretability (Case No. 2025-104)
Intro Sentence: UCLA researchers in the Department of Mathematics have developed machine learning methods to rapidly identify novel aptamer sequences for target binding to accelerate highly-accurate diagnostic and therapeutic development. Background: Aptamers are single-stranded nucleotide polymers that bind with high affinity to targets such as...
Published: 7/22/2025
|
Inventor(s):
Andrea Bertozzi
,
Anne Andrews
,
Matthew Tyler
,
Paolo Climaco
,
Noelle Mitchell
Keywords(s):
Advanced Computing / AI
,
advanced computing methods
,
Aptamers
,
Artifical Intelligence (Machine Learning, Data Mining)
,
artificial intelligence/machine learning models
,
bioinformatics pipeline
,
cancer target
,
clustering
,
computational efficiency
,
computational efficiency and analysis
,
design software
,
DNA clustering
,
DNA oligomer
,
DNA Sequencing
,
Drug
,
Drug Delivery
,
Drug Development
,
Drug Discovery
,
drug screening
,
high throughput
,
high throughput assays
,
high throughput testing
,
high-throughput analysis
,
High-Throughput Screening
,
interpretability, pipeline
,
large-scale parallelization
,
Machine Learning
,
machine learning modeling
,
motif structures
,
open source
,
open source code
,
OpenAI
,
Pharmaceutical Drug
,
protein classification
,
secondary structure
,
SELEX
,
sequences of interest
,
single strand DNA sequences
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
,
subgraph matching
,
target binding
,
target detection
,
Targeted Therapy
,
Targets And Assays
,
tissue targeting accuracy
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
,
Life Science Research Tools
,
Life Science Research Tools > Research Methods
,
Life Science Research Tools > Screening Libraries
,
Platforms
,
Platforms > Drug Delivery
,
Diagnostic Markers > Targets And Assays
,
Diagnostic Markers
,
Software & Algorithms > Bioinformatics
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
|
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
,
Software & Algorithms > Data Analytics
,
Software & Algorithms > Programs
,
Medical Devices
,
Medical Devices > Hospital Systems
Deep Neural Networks for Real-Time Non-invasive Continuous Peripheral Oxygen Saturation Monitoring (Case No. 2024-227)
Summary: UCLA researchers in the Department of Anesthesiology have developed a novel pulse oximetry methodology utilizing deep neural networks for non-invasive monitoring. Background: In the US alone, over 5 million patients are admitted to the ICU for oxygen saturation monitoring. They, as well as the more than 15 million patients undergoing surgery,...
Published: 2/14/2025
|
Inventor(s):
Sungsoo Kim
,
Sohee Kwon
,
Mia Markey
,
Alan Bovik
,
Akos Rudas
,
Ravi Pal
,
Maxime Cannesson
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Blood Pressure
,
cardiovascular monitoring
,
central venous pressure (CVP)
,
Continuous blood pressure monitoring
,
critical care
,
Deep learning-based sensing
,
deep-learning analysis algorithms
,
heart failure
,
hemodynamic monitoring
,
machine learning modeling
,
Monitoring (Medicine)
,
neural network
,
non-invasive monitoring
,
Oxygen
,
Oxygen Saturation
,
pulmonary arterial pressure (PAP)
,
Swan-Ganz catheter
Category(s):
Medical Devices > Monitoring And Recording Systems
,
Software & Algorithms > Digital Health
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
|
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
Copyright: Machine Learning-Assisted Design of High Power Laser Systems (Case No. 2024-067)
Summary: UCLA Researchers from the Department of Electrical and Computer Engineering have developed a novel software leveraging advanced machine learning methods to simulate and design high-power laser systems. Background: High-power laser systems are crucial to many established industries and in cutting edge research. These systems can be used in...
Published: 2/14/2025
|
Inventor(s):
Sergio Carbajo
,
Jack Hirschman
,
Randy Lemons
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence augmentation
,
Artificial Neural Network
,
artificial-intelligent materials
,
efficient laser design
,
Electronics & Semiconductors
,
Electro-Optics
,
high-powered laser systems
,
Laser
,
lasers
,
Lens (Optics)
,
linear optics
,
machine learning modeling
,
Medical artificial intelligence (AI)
,
non-linear optics
,
Optical Communication
,
Optical computing
,
optical implementation
,
Optics
,
parameter sweeping
,
Physics simulation
,
precision engraving
,
precision welding
,
reverse engineered optical system
,
Semiconductor
,
Semiconductor Device
,
Semiconductor Device Fabrication
,
start to end optics design
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Electrical
,
Electrical > Instrumentation
,
Optics & Photonics
,
Optics & Photonics > Lasers