Marco Gesualdo
Member of Research Line in the Generative design strategies for tissue engineering
Email: mgesualdo@elisava.net
ORCID: 0009-0000-6895-2188
Marco Gesualdo is a pre-doctoral researcher in Algorithmic Design applied to Biomedicine. He specializes in Computational Design and CGI, with strong expertise in digital manufacturing technologies such as 3D printing and robotics. His work explores the observation of natural systems and the implementation of biomimicry principles through digital technologies. In parallel, he develops material-driven explorations as part of his practice.
My last happenings:
Exploring the Potential of Phygital Bone as a Synthetic Surrogate for Forensic Bone Trauma
Authors: Crespo-Santiago, J; Jordana, X; Gesualdo, M; Álvarez, A; Mallafré, H; Otero-Viñas, M; Rzymelka V; Andreu C; Garrido X; Schwab N; Galtés I. Exploring the potential of Phygital Bone as a synthetic surrogate for forensic bone trauma. Scientific Reports, 2026. DOI: https://doi.org/10.21203/rs.3.rs-10206802/v1 Keywords: Health sciences/Anatomy; Physical sciences/Engineering; Physical sciences/Materials science; Health sciences/Medical research; Bone trauma; Synthetic bone surrogate; Forensic trauma reconstruction; Bone biomechanics; 3D-printed bone model. Funding: This research was funded by: AEI Clusters Spanish Ministry for Industry and Tourism (AEI-010500-2024-18), Llavor AGAUR Gencat (2023 LLAVOR 0005), and Proyectos de Generación de Conocimiento, Agencia Estatal de Investigación (PID2021-124112NB-100). Read More [...]
Phygital Bone: A biomimetic parametric model to 3D-printing human bone surrogates.
Authors: Crespo-Santiago, J; Jordana, X; Gesualdo, M; Álvarez, A; Mallafré, H; Wückert, A; Fradera, M; Otero-Vinas, M. Results in Engineering, 2026. DOI: https://doi.org/10.1016/j.rineng.2026.110448 Keywords: Biomimetic design; Algorithm-aided design; Parametric modeling; 3D-printing; Bone surrogate; Biomechanics Funding: AEI Clusters Spanish Ministry for Industry and Tourism (AEI-010500–2024–18), Llavor AGAUR Gencat (2023 LLAVOR 0005), and Proyectos de Generación de Conocimiento, Agencia Estatal de Investigación (PID2021–124112NB-100). Read More Accurate human bone surrogates are essential for biomechanical research. Existing commercial models provide limited control over microarchitectural features. In this study, we present Phygital Bone (PHyB), a biomimetic and fully customizable 3D-printed bone surrogate [...]
Phygital Bone: A biomimetic parametric model for 3D-printing human bone surrogates
Authors: Crespo-Santiago J*; Jordana X; Gesualdo M; Álvarez A; Andreu C; Mallafré H; Rzymelka V; Galtés I; Otero-Viñas M. Results in Engineering 2026 Jun;30:110448 DOI: 10.1016/j.rineng.2026.110448 Read More Abstract Accurate human bone surrogates are essential for biomechanical research. Existing commercial models provide limited control over microarchitectural features. In this study, we present Phygital Bone (PHyB), a biomimetic and fully customizable 3D-printed bone surrogate developed using algorithm-aided design (AAD) to reproduce key cortical and trabecular structures. PHyB specimens fabricated with commercially available resins were compared with fresh human femur samples and commercial surrogates. Structural validation was performed through [...]
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