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20242026
most citedDeep learning-enhanced paper-based vertical flow assay for high-sensitivity troponin detection using nanoparticle amplification

52 citations · 117 across the 6 of their papers we have counts for

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4 papers · 1 filter

physics.med-ph2025★ 4 cited

Deep learning-enhanced dual-mode multiplexed optical sensor for point-of-care diagnostics of cardiovascular diseases

Gyeo-Re Han, Merve Eryilmaz, Artem Goncharov +12

Rapid and accessible cardiac biomarker testing is essential for the timely diagnosis and risk assessment of myocardial infarction (MI) and heart failure (HF), two interrelated cond…

physics.med-ph2024★ 18 cited

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…

physics.med-ph2024★ 22 cited

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…

physics.med-ph2024★ 52 cited

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…