Author

Luca Crugnola

Politecnico di MilanoORCID 0000-0001-5702-8440Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Christian VergaraiD· 3 shared Gianluca PontoneiD· 2 shared Laura FusiniiD· 2 shared Alberto Cesare Luigi RedaelliiD· 1 shared Chiara CatalanoiD· 1 shared Chiara FaitiniiD· 1 shared Daniele BissaccoiD· 1 shared Francesca DucaiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersBioengineering

Christian VergaraORCID

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3 papers

Recent·Most cited

BioengineeringComputers in Biology and MedicinePeer-reviewedJan 5, 2026

Personalized computational hemodynamic analysis in transcatheter aortic valve: investigation of long-term degeneration

Luca Crugnola, Chiara Catalano, Laura Fusini…·Christian Vergara

This study develops computational hemodynamic indices to predict Structural Valve Deterioration in TAVI patients using personalized simulations and clinical data.

2 citationstop 4%

humanimaging

𝕏 PostBluesky

BioengineeringThe Journal of PhysiologyPeer-reviewedMay 28, 2025

Computational analysis to assess hemodynamic forces in descending thoracic aortic aneurysms

Francesca Duca, Daniele Bissacco, Luca Crugnola…·Christian Vergara

This study uses computational analysis to examine hemodynamic forces in descending thoracic aortic aneurysms, showing chaotic flow patterns and increased pressure in certain configurations.

10 citationstop 3%

humanimaging

𝕏 PostBluesky

BioengineeringComputer Methods and Programs in BiomedicinePeer-reviewedNov 22, 2024

Computational hemodynamic indices to identify Transcatheter Aortic Valve Implantation degeneration

Luca Crugnola, Christian Vergara, Laura Fusini…·Gianluca Pontone

This study identifies hemodynamic indices correlated with Transcatheter Aortic Valve Implantation degeneration using computational analysis of post-TAVI blood dynamics.

14 citations

humanimaging

𝕏 PostBluesky