Search Results - software+%26+algorithms+%3e+data+analytics

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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: 4/9/2025   |   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
Positive Unlabeled Learning With Bias Mitigation for Fair Prediction of Undiagnosed Alzheimer’s Disease (Case No. 2025-113)
Summary: UCLA researchers in the Department of Neurology have developed a software to predict the diagnosis of Alzheimer’s Disease without racial or ethnic biases. Background: Alzheimer’s Disease (AD) represents a major health and economic challenge in the United States. Despite its prevalence, Alzheimer’s remains significantly...
Published: 2/14/2025   |   Inventor(s): Timothy Chang
Keywords(s): Alzheimers disease, artificial intelligence/machine learning models, electronic health records (EHR), medical bias reduction, Neurodegeneration Alzheimer's Disease Predictive Testing, neurological disorders, Neurology, personalized medicine
Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Programs, Diagnostic Markers > Aging, Therapeutics > CNS and Neurology
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: 2/14/2025   |   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
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: 2/14/2025   |   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
Full Spectrum Computer Vision for Photon Counting CT (Case No. 2024-058)
Summary: Researchers in the Department of Radiological Sciences have developed a machine learning algorithm that processes multispectral photon counting CT data for accurate medical imaging. Background: Photon counting computed tomography (PCCT) is a tremendous engineering advancement, enabling high resolution spectral imaging with myriad applications....
Published: 2/14/2025   |   Inventor(s): Matthew Brown, Dieter Enzmann, John Hoffman, Michael Mcnitt-Gray
Keywords(s): AI algorithms, Algorithm, Algorithm Optical Coherence Tomography, algorithmic cancer detection, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial-intelligent materials, Big Data, Bladder Cancer, blood cancers, Brain cancer, Breast Cancer, Cancer, cancer antigen, cancer detection, Cancer Immunotherapy, Cancer stem cells, cancer target, Computed tomography, CT, Deep Learning, design software, Digital Pathology, generative artificial intelligence, Genetic Algorithm, Histopathological image analysis, Histopathology, histopathology images, hyperparameter optimization, Image Analysis, Image Processing, lympathic cancers, lymphatic cancer, Medical artificial intelligence (AI), Mesenchymal Stem Cell Derived Cancer Cells, Orthotopic cancer models, Pancreatic cancer, pathology image analysis, Photon counting computed tomography (PCCT), prostate cancer, Radiology, Radiology / Radiomitigation, Software, Software & Algorithms, Software Development Tools, Software-enabled learning
Category(s): Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics
Extended-Range Stochastic Computing (Case No. 2022-300)
Short description: Demand for deep-learning compute has continued to grow, as computation errors and accuracy issues remain among stochastic computing (SC) methods. In order to increase adoptability, proposed solutions have often been exchanged for loss of runtime or training performance. To address this issue of accuracy, Prof. Gupta et. al. proposes...
Published: 2/14/2025   |   Inventor(s): Aydogan Ozcan, Jingxi Li
Keywords(s):  
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Electrical, Optics & Photonics, Electrical > Instrumentation
Cell Type Scanner (UCLA Case No. 2021-115)
UCLA researchers in the Department of Chemistry and Biochemistry have developed a novel technology for spatial cell-type mapping in 2D and 3D tissue samples. BACKGROUND: Cell type mapping has become an integral component for many biomedical research studies and diagnostic technologies. However, a major challenge in single cell data is accurately...
Published: 2/14/2025   |   Inventor(s): Roy Wollman
Keywords(s): 3D tissue imaging, cell mapping, Principal component analysis, RNA imaging, single cell analysis, Single cell data
Category(s): Life Science Research Tools > Research Methods, Software & Algorithms > Data Analytics
A Programming Language to Execute Biological Experiments (Command Line Biology/Biowrapper) (Case No. 2024-049)
Intro Sentence: UCLA researchers in the Department of Molecular and Medical Pharmacology have developed a programming language to automate biological experiments. Background: Manual labor is a common bottleneck in biological sciences, with automation technology still being unobtainable and impractical for most scientists in biomedical research....
Published: 2/14/2025   |   Inventor(s): Robert Damoiseaux, Michael Mellody, Ronan Bennett, Alejandro Huerta, Rutu Shah
Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence augmentation, Artificial Neural Network, artificial-intelligent materials, Automation, generative artificial intelligence, Machine Learning, machine learning modeling, Medical artificial intelligence (AI), Programmable Logic Device
Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Programs, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Life Science Research Tools, Life Science Research Tools > Research Methods
A Process for Identifying Health Modifying Interventions Through Epigenetic Prediction (Case No. 2023-107)
Summary: UCLA researchers in the Department of Neurology have developed a novel method that leverages epigenetic markers to identify recommended and necessary health interventions. Background: Disease risk prediction and intervention involves identifying individuals or populations with a higher likelihood of developing a particular condition based...
Published: 3/25/2025   |   Inventor(s): Noah Zaitlen, Eran Halperin, Elior Rahmani, Michael Thompson, Zeyuan Chen
Keywords(s): Clinical decision support system, clinical outcome, Clinical Trial, disease outcome, Epigenetics, health risk assessment, outcome probability, patient outcome, prognostic, Public Health, public health monitoring, Risk Assessment, risk reduction, risk score, Simulation & Modeling, statistical modeling, treatment efficacy
Category(s): Software & Algorithms, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Software & Algorithms > Statistical Models, Medical Devices, Medical Devices > Monitoring And Recording Systems
Copyright: Phoenix Human Reliability Analysis Tool (Case No. 2023-088)
Summary: UCLA researchers in the Garrick Institute for the Risk Sciences have developed a software for performing human reliability analyses using a model-based method, which provides more consistent, traceable, and reproducible results. Background: Statistical data regarding accidents in complex person operated technical systems indicate a significant...
Published: 2/14/2025   |   Inventor(s): Marilia Abilio Ramos, Ali Mosleh, Mihai Diaconesa, Arjun Earthperson, Wadie Chalgham, Javier Colin
Keywords(s): Bayesian Belief Network (BBNs), cognitive reliability, crew failure mode, crew response tree, crew-plant interactions, error identification, error probability, Fault tree, HRA, human error, human failure event, human reliability analysis, performance influencing factor, probabilistic risk assessment, risk management, risk mitigation, safety culture, task analysis
Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Energy & Environment, Energy & Environment > Energy Storage, Energy & Environment > Energy Transmission
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