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Search Results - machine+learning+modeling
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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: 9/6/2024
|
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: 7/26/2024
|
Inventor(s):
Sungsoo (Danny) 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: 12/10/2024
|
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: 1/8/2024
|
Inventor(s):
Sergio Carbajo Garcia
,
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