Search Results - artem+goncharov

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Lab on a 3D Printer (Case No. 2025-094)

Summary: UCLA researchers in the Department of Bioengineering have developed a novel device capable of performing automated liquid handling to a great degree of precision on a miniaturized scale and with customizable features equipped for any laboratory task. Background: Automated liquid handling is essential in pharmaceutical and biotechnology research...

Published: 6/16/2025 | Inventor(s): Dino Di Carlo, Shun Ye, Zixin Guan, Artem Goncharov, Vivek Rajasenan, Charlotte Rose McDonough, Tristan Lovely

Keywords(s): 3D biofabrication, 3D Printing, Automation, bioimaging, biomanufacturing, Biomaterial 3D Printing, Biomonitoring, Biosensor, Biotechnology, Drug Discovery, fluid mechanics, graphical user interface, Liquid tracking, mechanical durability, Robotic liquid handling

Category(s): Life Science Research Tools, Medical Devices, Diagnostic Markers, Life Science Research Tools > Lab Equipment, Mechanical

Deep Learning-Enhanced Chemiluminescence Vertical Flow Assay for High-Sensitivity Cardiac Troponin I Testing (Case No. 2025-128)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering & Bioengineering have developed a novel, high-sensitivity chemiluminescence vertical flow assay for rapid cardiac diagnostics, addressing current challenges in both modern and underserved healthcare settings. Background: Point-of-care (POC) testing is performed...

Published: 6/13/2025 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyouarm Joung, Dino Di Carlo, Merve Eryilmaz

Keywords(s):

Category(s): Chemical, Chemical > Instrumentation & Analysis, Diagnostic Markers, Diagnostic Markers > Targets And Assays, Electrical, Electrical > Imaging, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Therapeutics, Therapeutics > Cardiovascular

An Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning (Case No. 2024-260)

Summary: UCLA researchers in the Department of Electrical & Computer Engineering have developed a new phosphorescence lifetime imaging (PLI) and deep learning based continuous glucose monitoring platform with improved accuracy. Background: Glucose is a biomarker for diabetes, a chronic disease that affects over 450 million people globally....

Published: 4/8/2025 | Inventor(s): Aydogan Ozcan, Zoltan Gorocs, Artem Goncharov, Ridhi Pradhan, Brian Ko, Michael McShane

Keywords(s): Blood Glucose Monitoring, chronic diabetes management, continuous glucose monitoring (CGM), diabetes and obesity, diabetes management and monitoring, disease multiplexing, Glucose, glucose intolerance, insulin pump, type 1 and 2 diabetes

Category(s): Medical Devices, Medical Devices > Monitoring And Recording Systems, Medical Devices > Hospital Systems, Electrical, Electrical > Sensors

Deep Learning-Enhanced Paper-Based Vertical Flow Assay for High-Sensitivity Troponin Detection Using Nanoparticle Amplification (Case No. 2024-179)

Summary: UCLA researchers from the Departments of Electrical and Computer Engineering and Bioengineering have developed a novel assay for point-of-care testing for acute myocardial infarction. Background: Cardiovascular diseases are responsible for a substantial number of deaths and economic burdens. Acute myocardial infarction (AMI) is an event...

Published: 2/14/2025 | Inventor(s): Aydogan Ozcan, Gyeo-Re Han, Artem Goncharov, Hyouarm Joung, Dino Di Carlo

Keywords(s): acute myocardial infarction, Assay, Bioassay, biological assays, cardiometabolic disease, cardiopulmonary illness, Cardiovascular, Cardiovascular Disease, Cardiovascular Disease Nephropathy, cardiovascular diseases, cardiovascular modeling, cardiovascular prediction, cardiovascular therapeutic solution, deep-learning analysis algorithms, Flow Device, heart disease mitigation, high-sensitivity cardiac troponin I, Immunoassay, Laminar flow, nanoparticle amplification chemistry, point-of-care testing, Targets And Assays, vertical flow assay

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

Deep Learning-Based Spectral Reconstruction Using a Scalable Plasmonic Encoder (Case No. 2021-104)

Summary: UCLA researchers in the department of Electrical and Computer Engineering have developed a deep learning-based device that uses a scalable plasmonic encoder to spectrally reconstruct a variety of complex mixed data from analytical chemistry to astronomy with high spectral resolution. Background: Optical sensors have become paramount in...

Published: 6/9/2025 | Inventor(s): Aydogan Ozcan, Calvin Brown, Artem Goncharov, Zachary Ballard, Yair Rivenson

Keywords(s): Artificial Intelligence, Image Processing, Instrumentation & Analysis, Machine Learning, Optics, Sensors

Category(s): Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Optics & Photonics