52 citations · 119 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
An insertable glucose sensor using a compact and cost-effective phosphorescence lifetime imager and machine learning
Artem Goncharov, Zoltan Gorocs, Ridhi Pradhan +12
Optical continuous glucose monitoring (CGM) systems are emerging for personalized glucose management owing to their lower cost and prolonged durability compared to conventional ele…
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…