53 citations · 180 across the 9 of their papers we have counts for
9 papers
Interfacial Potential Transduction for Diagnostics
Hyun-June Jang, Peuli Nath, Yuqin Wang +18
A major barrier to decentralized, near-patient diagnostics is the lack of a signal transduction modality that is both analytically precise and accessible at the point of care. Opti…
Autonomous Uncertainty Quantification for Computational Point-of-care Sensors
Artem Goncharov, Rajesh Ghosh, Hyou-Arm Joung +2
Computational point-of-care (POC) sensors enable rapid, low-cost, and accessible diagnostics in emergency, remote and resource-limited areas that lack access to centralized medical…
Deep learning-enhanced chemiluminescence vertical flow assay for high-sensitivity cardiac troponin I testing
Gyeo-Re Han, Artem Goncharov, Merve Eryilmaz +11
Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grade sensitivity and precision in an accessible format. Here, we demonstrate high-s…
Radical-mediated Electrical Enzyme Assay For At-home Clinical Test
Hyun-June Jang, Hyou-Arm Joung, Xiaoao Shi +9
To meet the growing demand for accurate, rapid, and cost-effective at-home clinical testing, we developed a radical-mediated enzyme assay (REEA) integrated with a paper fluidic sys…
Deep Learning-based Kinetic Analysis in Paper-based Analytical Cartridges Integrated with Field-effect Transistors
Hyun-June Jang, Hyou-Arm Joung, Artem Goncharov +6
This study explores the fusion of a field-effect transistor (FET), a paper-based analytical cartridge, and the computational power of deep learning (DL) for quantitative biosensing…
A paper-based multiplexed serological test to monitor immunity against SARS-CoV-2 using machine learning
Merve Eryilmaz, Artem Goncharov, Gyeo-Re Han +6
The rapid spread of SARS-CoV-2 caused the COVID-19 pandemic and accelerated vaccine development to prevent the spread of the virus and control the disease. Given the sustained high…
Deep learning-enhanced paper-based vertical flow assay for high-sensitivity troponin detection using nanoparticle amplification
Gyeo-Re Han, Artem Goncharov, Merve Eryilmaz +11
Successful integration of point-of-care testing (POCT) into clinical settings requires improved assay sensitivity and precision to match laboratory standards. Here, we show how inn…
Deep learning-enabled multiplexed point-of-care sensor using a paper-based fluorescence vertical flow assay
Artem Goncharov, Hyou-Arm Joung, Rajesh Ghosh +8
We demonstrate multiplexed computational sensing with a point-of-care serodiagnosis assay to simultaneously quantify three biomarkers of acute cardiac injury. This point-of-care se…
Quantitative particle agglutination assay for point-of-care testing using mobile holographic imaging and deep learning
Yi Luo, Hyou-Arm Joung, Sarah Esparza +3
Particle agglutination assays are widely adapted immunological tests that are based on antigen-antibody interactions. Antibody-coated microscopic particles are mixed with a test sa…