Search Results - machine+learning+pain+management

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Methods of Electrode Configurations and Montages to Achieve Spatial Selectivity of Nerve Stimulation (Case No. 2024-277)

Summary: UCLA researchers in the Department of Bioengineering have developed a novel method for spatially selective electrical nerve stimulation. Background: Peripheral nerve stimulation (PNS) is a common form of treatment for various ailments, such as chronic pain. This approach offers a non-pharmacological and minimally invasive option....

Published: 5/13/2025 | Inventor(s): Jonathan Brand, Wentai Liu

Keywords(s): Consumer Electronics, Digital Electronics, Electrode, Electrode 3D Printing, electrodes, Electroencephalography (EEG), Flexible Electronics, Machine Learning Pain Management, Neuropsychological Test, Optoelectronics, Organic Electronics, Pain Treatment, Paint, Printed Electronics, Psychiatry / Mental Health, Psychology, Psychotherapy, soft electronics, Stretchable electrodes, tissue-electronic interface, wearable electronics

Category(s): Electrical, Electrical > Instrumentation, Electrical > Flexible Electronics, Medical Devices, Medical Devices > Neural Stimulation, Therapeutics, Therapeutics > Psychiatry And Mental Health

Non-invasive Pain Measurement of Infants and Toddlers Using Acoustic Features of Cries (Copyright; Case No. 2018-327)

Summary: Researchers in the UCLA Semel Institute for Neuroscience and Human Behavior have developed a novel, non-invasive pain measurement tool for neonates. Background: Pain management in neonatal care remains a critical unmet need. Approximately 90% of premature infants undergo painful procedures, yet pain is only reported in 45% of cases. Current...

Published: 4/21/2025 | Inventor(s): Ariana Anderson

Keywords(s): acoustics, artificial intelligence/machine learning models, Digital Signal Processing, Machine Learning Pain Management, Monitoring (Medicine), non-invasive monitoring, Pain Treatment, pediatrics

Category(s): Diagnostic Markers > Pediatrics, Medical Devices > Monitoring And Recording Systems, Platforms > Diagnostic Platform Technologies, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > AI Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Therapeutics > Critical Care, Therapeutics > Psychiatry And Mental Health

Stain-Free, Rapid, and Quantitative Viral Plaque Assay Using Deep Learning and Holography (Case No. 2022-326)

Intro Sentence: UCLA researchers in the Department of Electrical and Computer Engineering have developed a rapid and stain-free quantitative assay using lens-free holography and deep learning to efficiently and cost-effectively determine the presence of viral plaque-forming units (PFUs) in samples. Background: A broad range of viruses have caused...

Published: 2/14/2025 | Inventor(s): Aydogan Ozcan, Yuzhu Li, Tairan Liu

Keywords(s): Antiviral Drug, Artifical Intelligence (Machine Learning, Data Mining), Assay, Bioassay, Computer Aided Learning, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Digital Holography, Electrical, Electrical Brain Stimulation, Electrical Breakdown, Electrical Engineering, Electrical Impedance, Electrical Load, Electrical Load Equation Of State, Electrical Resistance And Conductance, Electrical Resistivity And Conductivity, Holography, Immunoassay, Immunoassay Sense (Molecular Biology), Lentivirus Viral Vector, Machine Learning, Machine Learning Autonomous Car Gradient Descent, Machine Learning Pain Management, Machine Learning Particulates Global Climate Model, Network Analysis (Electrical Circuits), Perceptual Learning, Plasmid Trabecular Meshwork Aqueous Humour Viral Vector, Targets And Assays, Transcutaneous Electrical Nerve Stimulation, Transfection Viral Vector, Unsupervised Learning , Viability Assay, Viral Delivery Systems, Viral Envelope, Viral Load

Category(s): Diagnostic Markers, Diagnostic Markers > Targets And Assays, Electrical, Life Science Research Tools, Life Science Research Tools > Research Methods, Life Science Research Tools > Other Reagents, Software & Algorithms > Artificial Intelligence & Machine Learning