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Search Results - software+%26+algorithms+%3e+ai+algorithms
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Methods and Systems for Low-Cost Medical Image Annotation Using Non-experts (Case No. 2025-108)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed an AI-based interface designed to enable individuals without specialized training to identify arthritis in medical imaging. Background: The use of artificial intelligence (AI) for medical imaging analysis holds great promise for the future of healthcare....
Published: 7/23/2025
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Inventor(s):
Xiang Chen
,
Youngseung Jeon
,
Christopher Hwang
Keywords(s):
3D tissue imaging
,
AI-guided diagnostics
,
AI-guided medical imaging
,
AI-guided medical intervention
,
arthritis
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
Artificial Neural Network
,
bioimaging
,
Computer-Aided Diagnosis
,
computer-aided radiology
,
Diagnostic Markers & Platforms
,
Diagnostic Test
,
diagnostics
,
generative artificial intelligence
,
Image Analysis
,
Image Resolution
,
Imaging
,
infrared thermal imaging
,
Machine Learning
,
machine learning modeling
,
machine perception
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Medical artificial intelligence (AI)
,
Medical diagnostics
,
Medical Imaging
,
Microscopy And Imaging
,
non-invasive imaging
,
osteoarthritis
,
radial MRI
,
radiologic imaging
,
Radiology
,
Radiology / Radiomitigation
,
radiosurgery
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
,
Life Science Research Tools
,
Life Science Research Tools > Lab Equipment
,
Life Science Research Tools > Microscopy And Imaging
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems
,
Therapeutics
,
Therapeutics > Musculoskeletal Disease
,
Therapeutics > Radiology
Synapticflow Universal Scientific MPC/API Gateway (Case No. 2025-265)
Summary: UCLA researchers in the Department of Microbiology, Immunology, and Molecular Genetics have developed an advanced API gateway that leverages AI to autonomously process data requests with exceptional speed, reliability, and efficiency. Background: Application Programming Interface (API) infrastructures are universally employed to enable...
Published: 7/16/2025
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Inventor(s):
Lulan Wang
Keywords(s):
AI
,
AI algorithms
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Coronavirus
,
Data Acquisition
,
Data Analytics
,
data security
,
Data Structure
,
Drug Discovery
,
drug screening
,
high speed
,
Medical diagnostics
,
Software
,
Software & Algorithms
,
Software Development Tools
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Bioinformatics
,
Software & Algorithms > Data Analytics
Subgraph Matching for High-Throughput DNA-Aptamer Secondary Structure Classification and Machine Learning Interpretability (Case No. 2025-104)
Intro Sentence: UCLA researchers in the Department of Mathematics have developed machine learning methods to rapidly identify novel aptamer sequences for target binding to accelerate highly-accurate diagnostic and therapeutic development. Background: Aptamers are single-stranded nucleotide polymers that bind with high affinity to targets such as...
Published: 7/22/2025
|
Inventor(s):
Andrea Bertozzi
,
Anne Andrews
,
Matthew Tyler
,
Paolo Climaco
,
Noelle Mitchell
Keywords(s):
Advanced Computing / AI
,
advanced computing methods
,
Aptamers
,
Artifical Intelligence (Machine Learning, Data Mining)
,
artificial intelligence/machine learning models
,
bioinformatics pipeline
,
cancer target
,
clustering
,
computational efficiency
,
computational efficiency and analysis
,
design software
,
DNA clustering
,
DNA oligomer
,
DNA Sequencing
,
Drug
,
Drug Delivery
,
Drug Development
,
Drug Discovery
,
drug screening
,
high throughput
,
high throughput assays
,
high throughput testing
,
high-throughput analysis
,
High-Throughput Screening
,
interpretability, pipeline
,
large-scale parallelization
,
Machine Learning
,
machine learning modeling
,
motif structures
,
open source
,
open source code
,
OpenAI
,
Pharmaceutical Drug
,
protein classification
,
secondary structure
,
SELEX
,
sequences of interest
,
single strand DNA sequences
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
,
subgraph matching
,
target binding
,
target detection
,
Targeted Therapy
,
Targets And Assays
,
tissue targeting accuracy
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
,
Life Science Research Tools
,
Life Science Research Tools > Research Methods
,
Life Science Research Tools > Screening Libraries
,
Platforms
,
Platforms > Drug Delivery
,
Diagnostic Markers > Targets And Assays
,
Diagnostic Markers
,
Software & Algorithms > Bioinformatics
A Diagnostic Epigenetic Score for Determining the Effect of Biomarkers for Asthma Drug Response (UCLA Case No. 2024-106)
UCLA researchers in the Department of Computational Medicine have developed a novel machine learning algorithm to generate an accurate molecular score for determining asthma drug response. BACKGROUND: Asthma is a globally prevalent, high-burden disease marked by substantial clinical heterogeneity and variable treatment response. This heterogeneity...
Published: 7/17/2025
|
Inventor(s):
Elior Rahmani
Keywords(s):
Category(s):
Platforms > Diagnostic Platform Technologies
,
Diagnostic Markers > Targets And Assays
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Digital Health
,
Therapeutics > Inflammation And Inflammatory Diseases
Batch Processing Automation for Imaris Stitcher (Case No. 2025-089)
Summary: Researchers in UCLA’s Department of Neurobiology have developed a novel software tool that enhances the capabilities of Imaris Stitcher. The tool enables batch processing and automated execution of multiple image stitching jobs, significantly improving workflow efficiency and reducing hands-on time. This results in readily available,...
Published: 7/14/2025
|
Inventor(s):
Ian Bowman
,
Mitchell Rudd
,
Hong Wei Dong
Keywords(s):
3D tissue imaging
,
3D ultrasound imaging
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
artificial intelligence algorithms
,
artificial intelligence augmentation
,
artificial intelligence/machine learning models
,
artificial-intelligent materials
,
bioimaging
,
Cell Counting/Imaging
,
cell imaging
,
cell mapping
,
computational imaging
,
Data Acquisition
,
Data Aggregator
,
Data Analytics
,
Data Recovery
,
Data Structure
,
Fluorescence Microscope
,
histopathology images
,
Image Analysis
,
image restoration
,
image signal processing
,
Imaging
,
Magnetic Resonance Imaging
,
Medical artificial intelligence (AI)
,
Medical Imaging
,
Microscope
,
Microscopy
,
Microscopy And Imaging
,
Molecular Imaging
,
multi-contrast imaging
,
Neuroimaging
,
non-invasive imaging
,
pathology image analysis
,
Phase-Contrast Imaging
,
three dimensional imaging
,
volumetric image
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Digital Health
,
Software & Algorithms > Image Processing
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
AI-Powered System for Objective Surgical Skill Assessment in Open Procedures (Case No. 2025-207)
Summary: UCLA researchers in the Department of Surgery have developed a deep-learning architecture to efficiently and accurately assess surgeon skill level for improved medical training. TITLE: AI-Powered System for Objective Surgical Skill Assessment in Open Procedures Background: Objectively assessing surgical trainee performance during open...
Published: 4/10/2025
|
Inventor(s):
Peyman Benharash
,
Armin Alipour
Keywords(s):
AI
,
Artifical Intelligence (Machine Learning, Data Mining)
,
Artificial Intelligence
,
deep-learning analysis algorithms
,
Education technology
,
image-guided surgery
,
medical bias reduction
,
Quality Control
,
Surgery
,
Surgical Instrument
,
Surgical Tools
,
teaching
Category(s):
Life Science Research Tools > Lab Equipment
,
Life Science Research Tools > Research Methods
,
Medical Devices > Hospital Systems
,
Medical Devices > Monitoring And Recording Systems
,
Medical Devices > Surgical Tools
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Communication & Networking
,
Software & Algorithms > Digital Health
A Data-Driven Approach to Quality Assurance for Imagers (Radiologists) Individually and Imaging Departments as a Whole (Case No. 2014-501)
Summary: UCLA researchers have developed innovative software that streamlines radiological data analysis to enhance patient outcomes, evaluate radiologist performance, and assess AI algorithms in a way that mirrors radiologist decision-making. Background: Radiological imaging is critical to disease diagnosis and treatment planning for a wide array...
Published: 7/17/2025
|
Inventor(s):
Dieter Enzmann
,
Corey Arnold
,
Alex Bui
,
William Hsu
Keywords(s):
3D tissue imaging
,
3D ultrasound imaging
,
bioimaging
,
cell imaging
,
computational imaging
,
computational imaging task
,
Imaging
,
Magnetic Resonance Imaging
,
Magnetic Resonance Imaging Medical Physics
,
Magnetic Resonance Imaging Pathology
,
Magnetic Resonance Imaging Spin Polarization
,
Medical Imaging
,
Molecular Imaging
,
multi-contrast imaging
,
non-invasive imaging
,
Radiology
,
Radiology / Radiomitigation
,
three dimensional imaging
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Image Processing
,
Software & Algorithms > Digital Health
,
Medical Devices
,
Medical Devices > Medical Imaging
,
Medical Devices > Monitoring And Recording Systems