Search Results - diagnostic+markers

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Machine Learning to Predict Physiological Age Using Features Extracted From Arterial Blood Pressure (ABP) Waveforms (Case No. 2025-264)
Summary: UCLA researchers in the Department of Anesthesiology have introduced a novel machine learning model that accurately predicts physiological aging by analyzing features extracted from patients’ arterial blood pressure (ABP) waveforms. This approach enables efficient, data-driven assessment of biological aging in clinical settings to facilitate...
Published: 10/23/2025   |   Inventor(s): Maxime Cannesson, Ravi Pal
Keywords(s): Aging, Anesthesiology, biomedical sensors, clinical care methodology, clinical decision support, clinical outcome, Clinical tool, Computer-Aided Diagnosis, consumer health products, Digital Health, digital health system, Fatigue (Medical) , Health and fitness, health risk assessment, Machine Learning, machine learning modeling, Medical Device, Medical diagnostics, Monitoring (Medicine), personalized medicine, Preventive Medicine, public health monitoring, Smart medical device, Structural health monitoring, Telemedicine
Category(s): Diagnostic Markers, Diagnostic Markers > Aging, Life Science Research Tools, Medical Devices
Wearable Sweat Sensor for Ovulatory Hormone Monitoring (UCLA Case No. 2024-127)
UCLA researchers in the Department of Psychiatry and the Department of Behavioral Sciences have developed a skin patch that tracks estradiol, progesterone, and luteinizing hormone for the accurate prediction of fertility windows. BACKGROUND: Female reproductive hormones monitoring is required to accurately predict daily fertility for decision-making,...
Published: 9/18/2025   |   Inventor(s): Anne Andrews
Keywords(s):  
Category(s): Medical Devices > Monitoring And Recording Systems, Medical Devices > FemTech, Diagnostic Markers
RT-PCR Quantification of Subpopulations of Tumor Extracellular Vesicles for Cancer Early Detection (UCLA Case No. 2025-058)
Contact UCLA Technology Development Group to learn more. Keywords: epithelial ovarian cancer
Published: 11/20/2025   |   Inventor(s): Hsian-Rong Tseng
Keywords(s):  
Category(s): Diagnostic Markers, Therapeutics > Oncology
POLQ as a Mediator of Radioresistance in Prostate Cancer (UCLA Case No. 2024-068)
Please contact UCLA Technology Development Group for more information. KEYWORDS: cancer biology, cancer therapy resistance, molecular oncology, drug discovery, radiosensitization, radioresistance mechanisms, predictive biomarkers, prostate cancer
Published: 11/21/2025   |   Inventor(s): Paul Boutros
Keywords(s):  
Category(s): Therapeutics > Oncology, Diagnostic Markers
A Cell-Free DNA Biomarker for Diagnosis and Prognosis of Diseases with Degenerative Processes (UCLA Case No. 2023-250)
UCLA researchers led by Professor Noah Zaitlen in the Departments of Computational Medicine and Neurology have developed a cutting-edge platform for leveraging cfDNA molecular signatures as powerful biomarkers, advancing early diagnosis and prognosis in degenerative diseases through a minimally invasive, highly sensitive liquid biopsy method. INNOVATION:...
Published: 9/12/2025   |   Inventor(s): Noah Zaitlen
Keywords(s):  
Category(s): Platforms > Diagnostic Platform Technologies, Diagnostic Markers, Therapeutics > CNS and Neurology
Enhance Sensitivity of Mutation-Detection by EFIRM with a Saliva Preservative Solution (UCLA Case No. 2023-101)
UCLA researchers led by Prof. David T. Wong of the School of Dentistry have developed a breakthrough in noninvasive cancer diagnostics, combining the Spectrum Saliva Collector (SDNA-1000) with a preservative solution and cutting-edge Electric Field-Induced Release and Measurement (EFIRM) technology for sensitive, rapid detection of EGFR mutations in...
Published: 9/12/2025   |   Inventor(s): David Wong
Keywords(s):  
Category(s): Diagnostic Markers
A Smart Pen for Parkinson’s Disease Diagnostics (Case No. 2025-283)
Summary UCLA researchers have developed a smart pen for Parkinson’s Disease (PD) diagnostics that converts handwriting motions—both on paper and in air—into high-fidelity voltage signals for accurate, accessible, and low-cost disease screening. This pen leverages magnetoelastic sensing and ferrofluid ink to enable self-powered, quantitative...
Published: 9/12/2025   |   Inventor(s): Jun Chen, Guorui Chen
Keywords(s):  
Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems, Diagnostic Markers, Diagnostic Markers > Aging
AI-Based Wearable Sensor for Dermatology (Case No. 2025-301)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a flexible, cost-effective, AI-enabled wearable sensor that facilitates early, non-invasive diagnosis of allergic contact dermatitis. Background: Allergic contact dermatitis (ACD) is a hypersensitivity reaction of the skin triggered by direct contact...
Published: 8/26/2025   |   Inventor(s): Aydogan Ozcan, Shannon Wongvibulson, Paloma Casteleiro Costa, Gyeo-Re Han, Yuzhu Li
Keywords(s): Artificial Intelligence, artificial intelligence augmentation, artificial intelligence/machine learning models, Artificial Neural Network, artificial-intelligent materials, Computer-Aided Diagnosis, deep neural networks (DNN), Dermatology, electrochemical sensors, Medical artificial intelligence (AI), Signal Processing, Signal-To-Noise Ratio, Skin, skin protection, wearable, wearable electronics, wearable medical device, wearable medical devices, wearable sensors, wearable sensors for health
Category(s): Electrical, Electrical > Flexible Electronics, Electrical > Sensors, Medical Devices > Monitoring And Recording Systems, Therapeutics > Dermatology, Diagnostic Markers
INSPIROMARK (Case No. 2025-293)
Summary: UCLA researchers have developed InspiroMark, a standardized, implantable imaging marker designed to enhance the efficiency, reliability and ease of grafted vessel localization following coronary artery bypass graft (CABG). Background: Coronary Artery Bypass Graft (CABG) surgery is a common procedure used to restore blood flow to the heart....
Published: 10/30/2025   |   Inventor(s): Sneha Shaha, Michael Malig, Sukhneet Dhillon
Keywords(s):  
Category(s): Diagnostic Markers, Medical Devices, Medical Devices > Cardiac, Medical Devices > Medical Imaging > CT, Medical Devices > Medical Imaging > MRI, Medical Devices > Medical Imaging > X-Ray, Medical Devices > Medical Imaging > Fluorescence, Medical Devices > Monitoring And Recording Systems, Medical Devices > Surgical Tools, Therapeutics > Cardiovascular, Therapeutics > Radiology, Therapeutics > Transplant
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: 8/19/2025   |   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
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