Search Results - software+%26+algorithms

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Method and Apparatus for Improving the Signal-To-Noise Ratio in Multi-Dimensional Magnetic Resonance Imaging Data (Case No. 2025-204)
Summary: UCLA researchers have developed a software-based denoising method that makes cardiac MRI images clearer and more reliable, enabling more accurate heart function measurements without requiring longer scan times. Background: Cardiac MRI is a powerful imaging tool for assessing heart health because it can provide detailed pictures of how the...
Published: 11/13/2025   |   Inventor(s): Xiaodong Zhong, Shu-Fu Shih, Holden Wu, Kim-Lien Nguyen
Keywords(s): 2D ultrasound imaging, 3D tissue imaging, 3D ultrasound imaging, AI-guided medical imaging, AI-guided medical intervention, bioimaging, Biologic Medical Product, Biomedical Engineering, Cardiac Magnetic Resonance Imaging, Image Analysis, Imaging, Magnetic Resonance Imaging, Magnetic Resonance Imaging Carotid Artery Stenosis, Magnetic Resonance Imaging Hypoxia (Medical), Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Microangiopathy, Magnetic Resonance Imaging Pathology, Magnetic Resonance Imaging Spin Polarization, Magnetic Resonance Imaging Unmanned Aerial Vehicle, Medical artificial intelligence (AI), Medical Device, medical device cardiac monitoring, Medical Devices and Materials, Medical diagnostics, Medical Imaging
Category(s): Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Software & Algorithms > Image Processing, Software & Algorithms
Aerodynamics-Informed Design Optimization of Vehicles with Machine Learning (Case No. 2025-083)
Intro Sentence: UCLA researchers from the Department of Mechanical and Aerospace Engineering have developed a machine-learning–guided aerodynamic optimization framework that accelerates the design of electric vehicles by coupling high-fidelity simulations with data-driven shape prediction. Background: Electric vehicle (EV) technologies have...
Published: 11/5/2025   |   Inventor(s): Kunihiko Taira, Jonathan Tran, Kai Fukami, Daisuke Umehara, Kenta Inada, Yoshimichi Ono, Kenta Ogawa
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Materials, Materials > Functional Materials, Energy & Environment
Prototype Software for Neuron-Centric Memory Architecture in AI (Case Nos. 2025-327/328)
Summary: Researchers at UCLA’s Department of Integrative Biology & Physiology and Neurobiology have pioneered the first prototype of a novel, neuron-centric AI architecture featuring intracellular memory and adaptive computation capabilities, designed to enhance deep learning performance and efficiency. Background: Deep learning leverages...
Published: 10/24/2025   |   Inventor(s): Alain Glanzman, David Glanzman
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial intelligence-generated content, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, generative artificial intelligence, Medical artificial intelligence (AI), Neuron, neurons, Software, Software & Algorithms, Software Development Tools, Software-enabled learning
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical, Electrical > Computing Hardware
Method for Reducing Process Variation-Induced Threshold Voltage Mismatch in FD-SOI Transistors (Case No. 2025-271)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a transistor-level method that dynamically tunes device characteristics to eliminate mismatch, achieving higher stability and precision without added area or power costs. Background: Transistors are the fundamental semiconductor building blocks for amplification,...
Published: 10/23/2025   |   Inventor(s): Subramanian Iyer, Siyun Qiao, Jacklyn Zhu, Samuel Wang
Keywords(s): device stability, Electronics & Semiconductors, frequency modulation, Integrated Circuit, Integrated Circuit Via (Electronics), Microelectronics Semiconductor Device Fabrication, Mixed-Signal Integrated Circuit, Semiconductor, Semiconductor Device, Semiconductor Device Fabrication, Semiconductors, Signal Processing, Silicon, Transistor, transistors
Category(s): Electrical, Electrical > Signal Processing, Electrical > Instrumentation, Electrical > Electronics & Semiconductors, Software & Algorithms, Software & Algorithms > Communication & Networking
Direct Carrier Fractional Frequency Synthesizer Using a DiCAD-Based Digital-To-Phase Modulator (Case No. 2025-9AA)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a low-noise, DiCAD-based fractional frequency synthesis system that enables fine frequency resolution and enhanced signal stability for millimeter-wave applications. Background: Millimeter-wave (mmW) communication and radar systems demand carrier frequency...
Published: 10/16/2025   |   Inventor(s): Mau-Chung Chang, Christopher Chen, Adrian Tang, Jia Zhou
Keywords(s): 5G, Automotive, Bandwidth (Signal Processing), Communications Satellite, efficiency bandwidth products, electrically-mediated sensing, Extremely High Frequency, Frequency conversion, frequency modulation, high frequency electronics, high-frequency signals, high-speed communications, Imaging, millimeter-wave, Millimeterwave network, Quantum Computer, Radar, satellite imaging, Signal-To-Noise Ratio, Telecommunication
Category(s): Electrical, Electrical > Signal Processing, Software & Algorithms > Communication & Networking, Electrical > Electronics & Semiconductors > Circuits, Software & Algorithms
Secure Agents for Flexible Clean Rooms and Access Control (Case No. 2026-043)
Summary: UCLA researchers in the Department of Computer Engineering and Mathematics have developed virtual secure agents that enable efficient, privacy-preserving collaborative computation across all standard cloud environments. Background: Data clean rooms are secured environments that allow multiple parties to safely upload and exchange data between...
Published: 10/28/2025   |   Inventor(s): Rafail Ostrovsky, Sam Kumar, Nakul Khambhati, Joonwon Lee, Gary Song
Keywords(s): Cloud Computing, Computer Security, Condition monitoring, Data Analytics, data security, Data Structure, Database management/data entry, Dynamic Random-Access Memory, multiparty network, scalable communication, security, Security and defense
Category(s): Software & Algorithms, Software & Algorithms > Communication & Networking, Software & Algorithms > Data Analytics, Software & Algorithms > Security & Privacy
Method and Apparatus for Acceleration of Dense MR Data Acquisition (Case No. 2025-226)
Summary: UCLA researchers from the Department of Radiological Sciences have developed a novel acquisition and reconstruction strategy that accelerates Displacement Encoding with Stimulated Echoes (DENSE) MRI, enabling faster and clinically feasible cardiac strain measurement. Background: Myocardial strain is an important biomarker for assessing how...
Published: 10/8/2025   |   Inventor(s): Xiaodong Zhong, Shu-Fu Shih
Keywords(s):  
Category(s): Electrical > Imaging, Electrical > Signal Processing, Medical Devices > Cardiac, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > MRI, Platforms > Diagnostic Platform Technologies, Software & Algorithms > Data Analytics, Software & Algorithms, Software & Algorithms > Image Processing
Interactive Systems and Methods for Identifying Target Proteins in Drug Discovery (Case No. 2025-098)
Summary: UCLA researchers from the Department of Electrical and Computer Engineering have developed a novel computational system for target protein identification, enabling integrative drug discovery. Background: Target identification (Target ID) in drug discovery involves the identification and evaluation of protein candidates that could interact...
Published: 10/1/2025   |   Inventor(s): Xiang Chen, Youngseung Jeon, Christopher Hwang, Ziwen Li, Jesus Campagna, Varghese John, Whitaker Cohn, Eunice Jun
Keywords(s): AI-driven drug discovery, Alzheimer’s disease target discovery, Bioinformatics software platform, Drug, Drug Discovery, Functional annotation of proteins, High-throughput docking, large language models (LLMs), Ligand-protein docking, Mechanism-of-action prediction, Molecular docking simulation, Multi-criteria decision support, Neurodegenerative disease therapeutics, Pathway-centric drug targeting, personalized medicine, PPI-Comparator, PPI-Explorer, Protein structure prediction, Protein-protein interaction (PPI) analysis, Rational drug design, Retrieval-augmented generation (RAG), Semantic similarity modeling, Small molecule screening, Systems biology interface, Target identification (Target ID), Therapeutic impact modeling, User-guided AI exploration
Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Life Science Research Tools, Life Science Research Tools > Research Methods, Platforms, Platforms > Drug Delivery
Optical Generative Models (Case No. 2025-067)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed an optics-based system to rapidly generate synthetic images. Background: Generative AI models that create synthetic images, human-like natural language processing capabilities, and even new protein designs are critical for a diverse array of applications....
Published: 10/17/2025   |   Inventor(s): Aydogan Ozcan, Shiqi Chen
Keywords(s): Adaptive Optics, all-optical diffractive computing, Electro-Optics, Optical Coherence , Optical computing, Optical Generative Models, Optics
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Optics & Photonics, Electrical, Electrical > Signal Processing, Electrical > Imaging, Electrical > Visual Computing
Automated Detection of Lung Nodules in Medical Images (Case No. 2012-512)
Summary UCLA researchers have developed an automated image processing system that segments lung regions in CT scans, identifies candidate high-intensity structures (like nodules), and classifies lung nodules (including solid and ground glass) using geometric analysis. The system aims to reduce false positives while maintaining high sensitivity in lung...
Published: 9/23/2025   |   Inventor(s): Matthew Brown
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Medical Devices, Medical Devices > Hospital Systems, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems
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