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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: 1/6/2025   |   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
Blurryscope (Case No. 2025-070)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a cost-effective digital scanning microscope to improve pathological screening. Background: High quality pathological imaging systems are essential to carefully assess tissue sectioning samples and produce accurate diagnoses for patients. Digitization...
Published: 12/19/2024   |   Inventor(s): Aydogan Ozcan, Michael Fanous, Christopher Seybold
Keywords(s):  
Category(s): Electrical, Electrical > Imaging, Electrical > Instrumentation, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microscopy And Imaging, Optics & Photonics, Optics & Photonics > Microscopy, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing
Volumetric Analysis of Multi-Dimensional Images
Summary: UCLA investigators have identified an effective and accurate algorithm for calculating the volume and surface of irregularly shaped 3D structures from points selected on an image. This method can be used to calculate geometric information for a wide range of multi-dimensional objects and has been tested accurately on calculating the size of...
Published: 1/3/2025   |   Inventor(s): Aichi Chien, Bin Dong, Yu Mao, Stanley Osher
Keywords(s):  
Category(s): Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Hospital Systems, Medical Devices > Monitoring And Recording Systems, Medical Devices > Medical Imaging
VEViD: Vision Enhancement via Virtual Diffraction and Coherent Detection (Case No. 2023-083)
Summary: UCLA researchers in the Department of Electrical Engineering have developed an innovative approach to improve image quality when lighting conditions are suboptimal, that can be readily integrated with different machine learning techniques for more accurate object and face recognition. Background: The computer vision market size was valued...
Published: 12/10/2024   |   Inventor(s): Bahram Jalali, Callen MacPhee
Keywords(s):  
Category(s): Electrical, Electrical > Signal Processing, Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Security & Privacy, Optics & Photonics, Electrical > Displays, Electrical > Imaging, Life Science Research Tools, Life Science Research Tools > Microscopy And Imaging, Software & Algorithms > Artificial Intelligence & Machine Learning
In-Situ Stochastic Computing in Memory (Case No. 2024-121)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed a data-converter-free in-memory computing circuit that greatly reduces data processing latencies. Background: Low latency and low power computing circuitry is in high demand for artificial intelligence (AI) / machine learning (ML) applications. Compute...
Published: 11/19/2024   |   Inventor(s): Sudhakar Pamarti, Jiyue Yang
Keywords(s):  
Category(s): Electrical, Electrical > Computing Hardware, Electrical > Electronics & Semiconductors, Software & Algorithms > Artificial Intelligence & Machine Learning
AI-Powered Technology for Safe and Smart Charging of Li-Ion Batteries (Case No. 2024-209)
Summary: Researchers in the UCLA Department of Chemical and Biomolecular Engineering have developed a new battery management system to improve lithium-ion battery lifetimes. Background: Lithium-ion (Li-ion) batteries are crucial for powering many modern devices, from smartphones to electric vehicles due to their high energy density, long life cycle,...
Published: 12/6/2024   |   Inventor(s): Yuzhang Li, Jiayi Yu, Aki Takahashi
Keywords(s):  
Category(s): Materials, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Energy & Environment, Energy & Environment > Energy Storage, Energy & Environment > Energy Storage > Batteries, Electrical, Electrical > Sensors
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
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: 10/2/2024   |   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. This process is especially important for patients with memory impairments, who may be more vulnerable...
Published: 10/18/2024   |   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
Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)
Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...
Published: 9/3/2024   |   Inventor(s): Maxime Cannesson, Sungsoo (Danny) Kim, Akos Rudas, Jeffrey Chiang, Ravi Pal
Keywords(s): active learning, Algorithm, algorithm-based testing, arterial blood pressure (ABP), Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence algorithms, blood cancers, blood flow management, Blood Pressure, Blood Proteins, cardiovascular monitoring, catheter, Catheterization, central venous pressure (CVP), Computer Aided Learning, Continuous blood pressure monitoring, critical care, curriculum learning, Deep Learning, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, Machine Learning, non-invasive monitoring, Perceptual Learning, pulmonary arterial pressure (PAP), Software & Algorithms, Swan-Ganz catheter
Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Monitoring And Recording Systems
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