Search Results - biomarker

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Field-Effect Transistor Biosensors Integrated With Porous Media (Case No. 2023-093)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering in collaboration with the University of Chicago have developed a new diagnostic biosensor by combining field-effect transistors with porous media. Background: Point-of-care (POC) and self-testing tools rely on the real-time monitoring of biomarkers in bodily fluids....

Published: 4/1/2024 | Inventor(s): Aydogan Ozcan, Hyou-Arm Joung, Hyun-June Jang, Junhong Chen

Keywords(s): Biomarker, biomarkers, Biomaterial, Biosensor, Computer-Aided Diagnosis, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Diagnostic Test, Electrical, Electrical Engineering, electrically-mediated sensing, electrochemical sensors, enzyme functionalization, Medical diagnostics, multiplexed analysis, Point Of Care, point-of-care, porous media, sample matrix effects, transistors

Category(s): Electrical, Electrical > Sensors, Medical Devices, Medical Devices > Monitoring And Recording Systems, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Platforms, Platforms > Diagnostic Platform Technologies

A Uniform AI Framework for Automated Detection of Disease-Related Risk Factors in 3D Medical Imaging Data

Summary: UCLA researchers from the Departments of Anesthesiology & Perioperative Medicine, Ophthalmology, Computational Medicine, and Computer Science have developed a novel uniform framework to diagnose disease-related risk factors in any volumetric medical imaging data. Background: Automated diagnosis of medical imaging is undoubtedly important...

Published: 7/19/2023 | Inventor(s): Oren Avram, Eran Halperin, Berkin Durmus, Nadav Rakocz, Jeffrey Chiang, Srinivas Sadda

Keywords(s): Advanced Computing / AI, AI algorithms, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, Biomarker, Biomedical Engineering, Computer-Aided Design, Deep Learning, Imaging, Magnetic Resonance Imaging, Medical Imaging

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices > Medical Imaging

2022-140 Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue Using Deep Learning

SUMMARY: UCLA researchers in the Departments of Bioengineering and Electrical and Computer Engineering have developed a deep learning-based algorithm that can detect and quantify the breast cancer marker human epidermal growth factor receptor 2 (HER2) in microscopic images without the need for time-consuming immunohistochemical staining (IHC). BACKGROUND:...

Published: 4/9/2024 | Inventor(s): Aydogan Ozcan, Yair Rivenson, Bijie Bai, Hongda Wang

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Biomarker, Bladder Cancer, Breast Cancer, Cancer, Cancer Immunotherapy, Computer Aided Learning, Diagnostic Markers & Platforms, Diagnostic Test, Fluorescence, Fluorescent Labelling, HER2/Neu, Histology, Immune System, Immunohistochemistry, Life Science Research Tools, Machine Learning, Optics, Research Methods, Unsupervised Learning

Category(s): Life Science Research Tools, Life Science Research Tools > Research Methods, Diagnostic Markers, Diagnostic Markers > Immunology, Medical Devices > Medical Imaging, Medical Devices > Medical Imaging > Fluorescence, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics

2021-100 HIGH-THROUGHPUT DISEASE BIOMARKER SCREENING WITH HIGH-TRANSCONDUCTANCE ORGANIC ELECTROCHEMICAL TRANSISTOR ARRAYS

Researchers in UCLA’s Department of Bioengineering have developed a transistor-based biosensor for high-throughput disease biomarker screening applications: this minimally invasive sensor features high sensitivity and robustness to competing biomarkers, potentially enabling a next-generation mobile point of care (POC) device.BACKGROUNDMolecular...

Published: 7/19/2023 | Inventor(s): Shiming Zhang, Ali Khademhosseini

Keywords(s): Biomarker

Category(s): Medical Devices