Author

Andrea Di Pietro

University of PisaORCID 0009-0007-2668-899XUnclaimed 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:benchmarking· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Approach:optimal transport· 1

Frequent Co-Authors

Francesca Di PuccioiD· 2 shared Lorenza MatteiiD· 1 shared Luca ModeneseiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersBioengineering

Francesca Di PuccioORCID

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2 papers

Recent·Most cited

BioengineeringApplied SciencesPeer-reviewedOct 2, 2026

Embedding wear assessment in musculoskeletal simulation: A proof-of-concept application to total hip arthroplasty

Andrea Di Pietro, Lorenza Mattei, Francesca Di Puccio

This paper presents a computational framework for embedding wear estimation in musculoskeletal simulations, demonstrating its feasibility in total hip arthroplasty.

DOI 10.3390/app16199783

deep learningstatistical model

𝕏 PostBluesky

BioengineeringbioRxivPreprintSep 27, 2025

OpenGRF: Predicting Ground Reaction Forces and Moments During Daily Living Activities in OpenSim

Andrea Di Pietro, Francesca Di Puccio, Luca Modenese

OpenGRF estimates ground reaction forces and moments from kinematics in OpenSim, achieving high accuracy for vertical forces and ankle moments but lower accuracy for medio-lateral forces and free moments.

5 citations

humanimaging

𝕏 PostBluesky