22 citations · 22 across the 4 of their papers we have counts for
14 papers
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…
Evaluation of OpenAI o1: Opportunities and Challenges of AGI
Tianyang Zhong, Zhengliang Liu, Yi Pan +73
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, includi…
Build AI Assistants using Large Language Models and Agents to Enhance the Engineering Education of Biomechanics
Hanzhi Yan, Qin Lu, Xianqiao Wang +3
While large language models (LLMs) have demonstrated remarkable versatility across a wide range of general tasks, their effectiveness often diminishes in domain-specific applicatio…
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…
Physics-informed deep learning for infectious disease forecasting
Ying Qian, Kui Zhang, Ãric Marty +7
Accurate forecasting of contagious diseases is critical for public health policymaking and pandemic preparedness. We propose a new infectious disease forecasting model based on phy…