89 citations · 261 across the 10 of their papers we have counts for
11 papers
BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering
Shun Ye, Vinny Chandran Suja, Chenlong Li +60
Large Language Models (LLMs) have demonstrated historic breakthroughs in general reasoning with early successes in biomedical science. However, existing LLM benchmarking emphasizes…
Whole Blood-Based Point-of-Care Assay for Single-Tier Lyme Disease Testing
Mihye Lee, Rajesh Ghosh, Artem Goncharov +10
Rapid point-of-care diagnostics that operate directly on whole blood can accelerate clinical decision-making by bypassing complex sample preprocessing and centralized laboratory in…
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…
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…
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…
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…
Neural network-based on-chip spectroscopy using a scalable plasmonic encoder
Calvin Brown, Artem Goncharov, Zachary Ballard +5
Conventional spectrometers are limited by trade-offs set by size, cost, signal-to-noise ratio (SNR), and spectral resolution. Here, we demonstrate a deep learning-based spectral re…