Author

Daniele Bissacco

University of MilanORCID 0000-0003-0724-0237Unclaimed 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:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Christian VergaraiD· 2 shared Francesca DucaiD· 2 shared Francesco MigliavaccaiD· 2 shared Maurizio DomaniniD· 2 shared Santi TrimarchiiD· 2 shared Chiara FaitiniiD· 1 shared Luca CrugnolaiD· 1 shared Silvia Tavarone· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 26 mutual co-author links

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2 shared papersBioengineering

Christian VergaraORCID

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2 papers

Recent·Most cited

BioengineeringAnnals of Biomedical EngineeringPeer-reviewedOct 27, 2026

Predicting post-TEVAR endoleaks: a pre-operative hemodynamic risk factor from patient-specific Fluid-Structure Interaction simulations

Francesca Duca, Silvia Tavarone, Maurizio Domanin…·Francesco Migliavacca

This study uses patient-specific Fluid-Structure Interaction simulations to predict post-TEVAR endoleaks by quantifying hemodynamic drag forces and proposing a risk factor R.

DOI 10.1007/s10439-026-04337-w

experimental assay

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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

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