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Search Results - monitoring+(medicine)
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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
Intelligent, Adaptive, and Multimodal Data-Driven Epileptogenic Zone Identification and Cognitive Function Mapping Platform (UCLA Case No. 2023-214)
Summary: UCLA researchers in the Departments of Neurology and Electrical and Computer Engineering have developed a data-driven, deep learning-powered software platform to localize epileptogenic tissues in the brain and cognitively map nearby regions. Background: According to the World Health Organization, 50 million people around the world suffer...
Published: 8/19/2024
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Inventor(s):
Vwani Roychowdhury
,
Hiroki Nariai
,
Richard Staba
,
Yipeng Zhang
Keywords(s):
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
Artificial Neural Network
,
Biomonitoring
,
Brain Mapping
,
Condition monitoring
,
Deep Learning
,
Digital Health
,
Digital Pathology
,
Electroencephalography (EEG)
,
Epilepsy
,
Hospital Systems And Devices
,
Medical Device
,
Medical Devices and Materials
,
Monitoring (Medicine)
,
Monitoring And Recording Systems
,
MRI
,
PET
,
remote monitoring
,
Software
,
Software & Algorithms
Category(s):
Software & Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
2022-223 A Bioanalytics-Enabled and Hollow Microneedle-Based Wearable Technology for Personalized Medicine
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a minimally-invasive wearable device that continuously monitors pharmaceutical concentrations in a user to optimize the drug’s dosage. Background: The annual cost of medication-related morbidity and mortality due to non-optimized pharmacotherapy...
Published: 7/19/2023
|
Inventor(s):
Sam Emaminejad
,
Shuyu Lin
Keywords(s):
Adverse Drug Reaction
,
Antibody-Drug Conjugate
,
Antiviral Drug
,
Biomonitoring
,
Blood Glucose Monitoring
,
Drug
,
Drug Carrier
,
Drug Delivery
,
Drug Delivery Microporous Material
,
Drug Development
,
Drug Development Feature Extraction
,
Drug Discovery
,
Drug monitoring
,
Drug Resistance
,
Drug-Eluting Stent
,
Extensively Drug-Resistant Tuberculosis
,
Fine-Needle Aspiration
,
Gene Combination Drug
,
Immunosuppressive Drug
,
interstitial fluid (ISF)-based information
,
Investigatioal New Drug
,
Management Of HIV/AIDS Psychoactive Drug
,
medical automation technology
,
Medical Device
,
Medical Devices and Materials
,
medication customization
,
medication efficacy
,
Microneedle array
,
minimally invasive device
,
Monitoring (Medicine)
,
Monitoring And Recording Systems
,
Multiple Drug Resistance
,
Mutation Drug Design
,
Nanosensor
,
Nanostructure
,
Nanotechnology
,
non-invasive drug monitoring
,
personalized dose assessment
,
Pharmaceutical Drug
,
Pharmaceutical Drug Ethylene Glycol
,
Pharmaceutical Drug Opioid Dependence
,
Prescription Drug
,
real-time sensing/monitoring/tracking
,
remote monitoring
,
sample-to-answer devices
,
Smart medical device
,
Therapeutic Drug Monitoring
,
wearable medical device
Category(s):
Mechanical
,
Mechanical > Sensors
,
Medical Devices
,
Medical Devices > Monitoring And Recording Systems
,
Platforms > Drug Delivery
,
Software & Algorithms > Bioinformatics
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Electrical > Sensors
,
Materials > Nanotechnology
2019-002 Motility-Based Label-Free Detection of Parasites in Bodily Fluids Using Holographic Speckle Analysis and Deep Learning
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed deep learning-based, cost-effective, and portable optical devices that facilitate label-free, high-throughput and sensitive detection of motile parasites. Background: Parasitic infections are a major global public health issue, but current screening...
Published: 10/25/2023
|
Inventor(s):
Aydogan Ozcan
,
Yibo Zhang
,
Hatice Ceylan Koydemir
Keywords(s):
Algorithm
,
Artificial Intelligence
,
Diagnostic Markers & Platforms
,
Diagnostic Platform Technologies (E.G. Microfluidics)
,
Diagnostic Test
,
Disease
,
Holography
,
Imaging
,
Infection
,
Infectious Diseases
,
Infectivity
,
Monitoring (Medicine)
,
Optics
,
Software & Algorithms
Category(s):
Software & Algorithms
,
Software & Algorithms > Image Processing
,
Life Science Research Tools
,
Diagnostic Markers
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Platforms > Diagnostic Platform Technologies
,
Therapeutics > Infectious Diseases