Author

Taylor P. Trentadue

Mayo ClinicORCID 0000-0002-0390-3243Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew Ryan ThoresoniD· 2 shared Kai‐Nan AniD· 2 shared Kristin Daigle ZhaoiD· 2 shared Sanjeev KakariD· 2 shared Thor E. AndreasseniD· 2 shared David R. HolmesiD· 1 shared Hsuan-Yu Chen· 1 shared Jon J. CampiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBiophysics

Andrew Ryan ThoresonORCID

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2 papers

Recent·Most cited

Artificial Intelligence Models for Classifying Wrist Ligament Injuries Using Synthetically-Generated Joint Proximity Maps from Finite Element Models

Hsuan-Yu Chen, Jon J. Camp, Taylor P. Trentadue, Andrew Ryan Thoreson, Shuai Leng, David R. Holmes, Sanjeev Kakar, Kai‐Nan An, Kristin Daigle Zhao, Thor E. Andreassen

This paper trains AI models to classify wrist ligament injuries using synthetic proximity maps generated from finite element models, achieving high accuracy in identifying specific injuries.

bioRxiv · Jun 21, 2026 · PreprintBiophysics

Finite Element Modeling of the Scaphoid Shift Maneuver: Implications for Scapholunate Ligament injuries

Thor E. Andreassen, Taylor P. Trentadue, Andrew Ryan Thoreson, Parunyu Vilai, Kai‐Nan An, Sanjeev Kakar, Kristin Daigle Zhao

This paper uses finite element modeling to simulate scaphoid shift maneuvers with varying scapholunate ligament injuries, showing increased scaphoid subluxation and altered contact mechanics.

bioRxiv · Feb 18, 2026 · PreprintBiophysics