83 citations · 199 across the 11 of their papers we have counts for
12 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…
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…
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…
Fluid dynamics alters liquid-liquid phase separation in confined aqueous two-phase systems
Eric W. Hester, Sean P. Carney, Vishwesh Shah +4
Liquid-liquid phase separation is key to understanding aqueous two-phase systems (ATPS) arising throughout cell biology, medical science, and the pharmaceutical industry. Controlli…
Shape-design for stabilizing micro-particles in inertial microfluidic flows
Aditya Kommajosula, Daniel Stoecklein, Dino Di Carlo +1
Design of microparticles which stabilize at the centerline of a channel flow when part of a dilute suspension is examined numerically for moderate Reynolds numbers ($10 \le Re \le…
Spectro-temporal encoded Multiphoton Microscopy
Sebastian Karpf, Carson Riche, Dino di Carlo +5
Two-Photon Microscopy has become an invaluable tool for biological and medical research, providing high sensitivity, molecular specificity, inherent three-dimensional sub-cellular…
Direct Measurement of Particle Inertial Migration in Rectangular Microchannels
Kaitlyn Hood, Soroush Kahkeshani, Dino Di Carlo +1
Particles traveling at high velocities through microfluidic channels migrate from their starting streamlines due to inertial lift forces. Theories predict different scaling laws fo…
Optimization of micropillar sequences for fluid flow sculpting
Daniel Stoecklein, Chueh-Yu Wu, Donghyuk Kim +2
Inertial fluid flow deformation around pillars in a microchannel is a new method for controlling fluid flow. Sequences of pillars have been shown to produce a rich phase space with…
Lateral migration of living cells in inertial microfluidic systems explored by fully three-dimensional numerical simulation
Hongzhi Lan, Soojung Claire Hur, Dino Di Carlo +1
The effects of cell size and deformability on the lateral migration and deformation of living cells flowing through a rectangular microchannel has been numerically investigated and…
Inertially-induced secondary flow in microchannels
Hamed Amini, Mahdokht Masaeli, Dino Di Carlo
We report a novel technique to passively create strong secondary flows at moderate to high flow rates in microchannels, accurately control them and finally, due to their determinis…