22 citations · 39 across the 10 of their papers we have counts for
11 papers
LinePilot Digitizer: Line-Plot Recovery with Manual and Automatic Calibration
Fengbo Ma, Rayan Akhtar, Aakash H. Joshi +5
Recovering numerical series from line plots requires accurate axis calibration and reliable curve extraction. We present LinePilot Digitizer (LinePilot), which combines continuous…
Stiff-FCS: Single-Cell Stiffness Profiling With Integrated Molecular and Functional Analysis
Yuhao Zhang, Luyao Zhao, Zhengfu Huang +9
Cell stiffness is a key determinant of how cells deform, migrate, and adapt to mechanically restrictive environments, yet existing single-cell stiffness assays remain difficult to…
Tau-induced atrophy drives functional connectivity disruption in Alzheimer's disease
Kun Jiang, Can Liao, Sujin Jiang +9
Alzheimer's disease involves progressive tau accumulation and spread, leading to regional brain atrophy and disruption of large-scale functional networks. While tau propagation and…
Ferrohydrodynamic Microfluidics for Bioparticle Separation and Single-Cell Phenotyping: Principles, Applications, and Emerging Directions
Yuhao Zhang, Yong Teng, Kenan Song +7
Ferrohydrodynamic microfluidics relies on magnetic field gradients to manipulate diamagnetic particles in ferrofluid-filled microenvironments. It has emerged as a promising tool fo…
Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging
Suqiang Ma, Subhadeep Sengupta, Yao Lee +7
Circulating blood cell clusters (CCCs) containing red blood cells (RBCs), white blood cells(WBCs), and platelets are significant biomarkers linked to conditions like thrombosis, in…
A Multi-Agent Framework Integrating Large Language Models and Generative AI for Accelerated Metamaterial Design
Jie Tian, Martin Taylor Sobczak, Dhanush Patil +10
Metamaterials, renowned for their exceptional mechanical, electromagnetic, and thermal properties, hold transformative potential across diverse applications, yet their design remai…
Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns
Jixin Hou, Zhengwang Wu, Xianyan Chen +5
The surface morphology of the developing mammalian brain is crucial for understanding brain function and dysfunction. Computational modeling offers valuable insights into the under…
Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on Human Brain Cortex
Jixin Hou, Xianyan Chen, Taotao Wu +2
We introduce a data-driven framework to automatically identify interpretable and physically meaningful hyperelastic constitutive models from sparse data. Leveraging symbolic regres…
Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding
Jie Tian, Jixin Hou, Zihao Wu +11
This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering w…
Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches
Jixin Hou, Nicholas Filla, Xianyan Chen +3
Traditional computational methods, such as the finite element analysis, have provided valuable insights into uncovering the underlying mechanisms of brain physical behaviors. Howev…
PharmacyGPT: The AI Pharmacist
Zhengliang Liu, Zihao Wu, Mengxuan Hu +12
In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical ph…