Author

Yunduo Charles Zhao

The University of SydneyORCID 0000-0002-1802-2318Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:benchmark study· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:simulation· 1

Frequent Co-Authors

Lining Arnold JuiD· 3 shared Allan SuniD· 2 shared Arian NasseriD· 2 shared Ken S. ButcheriD· 2 shared Naveen Eugene LouisiD· 2 shared Nicole Alexis YapiD· 2 shared Timothy AngiD· 2 shared Zihao WangiD· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioengineering

Lining Arnold JuORCID

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Author profile →

3 papers

Recent·Most cited

Patient-specific "Physical Twin" artery-on-chip platform reveals complex flow-dependent VWF mechanobiology and guides personalized antithrombotic therapy

Yunduo Charles Zhao, Y Liu, Zihao Wang, Naveen Eugene Louis, Nicole Alexis Yap, Arian Nasser, Allan Sun, Yiyao Catherine Chen, Alexander Dupuy, Eugene Marfo Obeng, Mary Meltem Kavurma, Ken S. Butcher, Xin Xu, Jingjing You, Freda H. Passam, , Lining Arnold Ju

The paper develops a patient-specific artery-on-chip platform to study flow-dependent VWF mechanobiology and guide personalized antithrombotic therapy.

bioRxiv · May 15, 2026 · PreprintBioengineering

Flow molecular dynamics simulations reveal mechanosensitive regulation of von Willebrand factor through glycan-modulated autoinhibitory modules

Naveen Eugene Louis, Yunduo Charles Zhao, Lining Arnold Ju

The paper uses flow molecular dynamics simulations to study how mechanical forces regulate von Willebrand factor's conformational changes through glycan-modulated autoinhibitory modules.

bioRxiv · Apr 7, 2026 · PreprintBioinformatics

Automated high-throughput fabrication of patient-specific vessel-on-chips enables a generative AI digital twin--Cascade Learner of Thrombosis (CLoT) for personalized thrombosis prediction

Zihao Wang, Yunduo Charles Zhao, Haimei Zhao, Arian Nasser, Nicole Alexis Yap, Yanyan Liu, Allan Sun, Wei Chen, Ken S. Butcher, Timothy Ang, Lining Arnold Ju

The paper develops a platform for automated vessel-on-chip fabrication and a generative AI model, CLoT, to predict thrombosis in patients with high accuracy.

bioRxiv · Mar 5, 2026 · PreprintBioengineering