Search Results - diagnostic+markers

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Swabseq Universal Pathogen Diagnostic Platform (Case No. 2026-121)

Summary: UCLA researchers in the Department of Computer Science have developed a next-generation universal pathogen diagnostic platform combining scalable genomic sequencing, simplified laboratory workflows, and integrated logistics infrastructure to enable rapid, low-cost, high-throughput infectious disease detection. Background: The rise of pathogen-specific...

Published: 6/5/2026 | Inventor(s): Eleazar Eskin, Valerie Arboleda, Chongyuan Luo, Taryn Jakub, Traci Toy

Keywords(s): AI-guided diagnostics, Assay, Computer-Aided Diagnosis, COVID-19, Diagnostic Markers & Platforms, diagnostic platforms, Diagnostic Test, diagnostics, Infectious Diseases, Infrastructure, Medical diagnostics, metagenomic diagnostic platform, Pathogen, platform technology, scalable platform

Category(s): Therapeutics > Infectious Diseases, Therapeutics > Infectious Diseases > COVID, Software & Algorithms > Digital Health, Software & Algorithms, Platforms > Diagnostic Platform Technologies, Platforms, Diagnostic Markers, Diagnostic Markers > Targets And Assays

Enzyme-Based Method for the Amplified Detection of Molecules on Particles (Case No. 2026-130)

Summary: UCLA researchers in the Department of Bioengineering have developed a novel enzyme-based particle platform that enables amplified molecular detection in fully aqueous systems for sensitive, multiplexed analysis of low-abundance analytes. Background: The detection of molecules and determination of enzymatic activity are foundational across...

Published: 6/5/2026 | Inventor(s): Alyssa Arnheim, Dino Di Carlo

Keywords(s): Antibody, Aptamers, Assay, barcode, Biomarker, Biosensor, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Drug Discovery, ELISA, enzyme functionalization, Enzyme Substrate (Biology), Flow Cytometry, Fluorescence, High-Throughput Screening, hydrogel, Immunoassay, Medical diagnostics, microparticles, Molecular Biology, multiplexed analysis, multiplexing, Nucleic Acids, protein, Signal-To-Noise Ratio

Category(s): Diagnostic Markers > Targets And Assays, Diagnostic Markers, Platforms > Diagnostic Platform Technologies, Chemical > Chemical Sensors, Life Science Research Tools > Antibodies

Summary: A UCLA researcher in the Department of Medicine, Hematology Oncology has developed a computational framework to model subcellular orientation for spatial biology Background: Spatial biology allows researchers to map the coordinates of proteins with subcellular resolution, revolutionizing our understanding of disease. Critical cellular processes...

Published: 6/3/2026 | Inventor(s): Katie Campbell, Daniel Chen, Taejus Yee

Keywords(s):

Category(s): Diagnostic Markers, Diagnostic Markers > Immunology, Diagnostic Markers > Cancer, Platforms, Platforms > Diagnostic Platform Technologies, Software & Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Programs, Software & Algorithms > Bioinformatics, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health

Deep Learning-Enhanced Dual-Mode Multiplexed Optical Sensor for Point-Of-Care Diagnostics of Cardiovascular Diseases (Case No. 2026-178)

Summary: UCLA researchers in the Departments of Electrical and Computer Engineering and Bioengineering have developed a deep-learning-enhanced multiplexed optical biosensing platform that enables rapid, high sensitivity point-of-care quantification of multiple cardiac biomarkers for cardiovascular diagnostics. Background: Rapid and accessible cardiac...

Published: 3/24/2026 | Inventor(s): Aydogan Ozcan, Dino Di Carlo, Gyeo-Re Han, Artem Goncharov, Merve Eryilmaz

Keywords(s): Biomarker, biomarkers, Cardiovascular, Cardiovascular Disease, cardiovascular diseases, cardiovascular monitoring, cardiovascular therapeutic solution, Deep Learning, Deep learning-based sensing, deep neural networks (DNN), neural network, neural networks, Optics, Point Of Care, point-of-care, point-of-care testing

Category(s): Electrical, Optics & Photonics, Diagnostic Markers, Medical Devices > Cardiac, Medical Devices

An Acoustic Device for Large Area Single Cell Trapping and Selective Release (Case No. 2025-047)

Summary: UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed an acoustic microfluidic platform that offers a cost-effective and practical approach for handling individual cells at the microscale. Background: Single-cell manipulation is essential for understanding cellular behavior, disease progression, and therapeutic...

Published: 1/13/2026 | Inventor(s): Pei-Yu Chiou, Xiang Zhang

Keywords(s): acoustic microfluidics, acoustic potential wells, acoustics, cell proliferation, cell viability, Diagnostic Platform Technologies (E.G. Microfluidics), diagnostic platforms, Digital Microfluidics, disposable microfluidic platforms, high throughput, high throughput assays, high throughput testing, High-Content Screening, high-throughput cell handling, low-cost fabrication, MEMS, MEMS metasurface, micro-electromechanical systems (MEMS), Microfluidics, Microfluidics And Mem's, Microfluidics Dielectrophoresis, Microfluidics Multi-Band Device, Microfluidics Nanosphere, near-infrared laser, photolithography-free fabrication, research instrumentation, scalable platform, single cell analysis, single cell analysis and testing, Single cell data, single-cell handling, single-cell manipulation, single-cell resolution, single-cell trapping

Category(s): Chemical, Chemical > Chemical Processing & Manufacturing, Chemical > Instrumentation & Analysis, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Diagnostic Markers > Immunology, Diagnostic Markers > Cancer, Life Science Research Tools, Life Science Research Tools > Lab Equipment, Life Science Research Tools > Microfluidics And Mems, Life Science Research Tools > Research Methods, Mechanical, Mechanical > Instrumentation, Platforms, Platforms > Diagnostic Platform Technologies

Phenotyping Single Ventricle Physiology Using Electronic Health Records (Case Nos. 2025-322 and 2025-323)

Summary: UCLA researchers have created a cutting-edge, automated phenotyping tool that harnesses electronic health records to enable rapid and precise identification of single ventricle physiology (SVP), especially in neonatal and pediatric populations. Background: Single ventricle physiology (SVP) is a rare heart condition that develops before birth...

Published: 1/6/2026 | Inventor(s): Kim-Lien Nguyen, William Hsu, Hang Xu

Keywords(s): Algorithm, cardiac cycle, Cardiovascular, Cardiovascular Disease, cardiovascular diseases, cardiovascular monitoring, cardiovascular prediction, Computer-Aided Diagnosis, heart disease mitigation, heart support, medical automation technology, Medical Device, medical device cardiac monitoring, Medical diagnostics, Medical Guideline, non-invasive cardiac monitoring, Smart medical device, Software, Software & Algorithms, Software Development Tools

Category(s): Diagnostic Markers, Medical Devices, Medical Devices > Cardiac, Medical Devices > Monitoring And Recording Systems

Mental Health Functional Movement Scale (MH-FMS) (Case No. 2025-021)

Summary: UCLA researchers in the Department of Psychiatry and Behavioral Sciences have created a novel assessment platform that objectively measures how the brain, body, and autonomic nervous system respond to stress and regulate emotion during real-time movement. By integrating a shear-stress–based neurovascular framework with a polyvagal-informed...

Published: 12/17/2025 | Inventor(s): Naser Ahmadi, Mike Ramirez, Julien Pineau

Keywords(s): blood flow management, Cardiovascular, cellular, clinical care methodology, clinical decision support, Clinical decision support system, clinical mental health, Clinical tool, exercise physiology, Hemodynamics, Mental health, neurobehavioral impairment, Neurocognitive, Neurocognitive Scientific Method, neurodevelopment, neurological disorders, Neuropsychological Test, neuroscience, Neurostimulation, Psychiatry / Mental Health

Category(s): Diagnostic Markers, Life Science Research Tools, Medical Devices, Medical Devices > Hospital Systems, Therapeutics, Therapeutics > Psychiatry And Mental Health

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: 12/5/2025 | 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: 3/2/2026 | Inventor(s): Anne Andrews

Keywords(s):

Category(s): Medical Devices > Monitoring And Recording Systems, Medical Devices > FemTech, Diagnostic Markers, Therapeutics > Women's Health

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

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