All living cells and tissues exert and experience physical forces that guide their function. Those mechanical processes are pivotal in the biophysics of embryonic formation, tumor angiogenesis, cancer [...]
Serpelloni, M. Arricca, M.; Bonanno, C.; Salvadori, A.; Chemo-transport-mechanics in advecting membranes. International Journal of Engineering Science, Volume 181, 1 December 2022 In many actual technological problems the system [...]
PIs - A. Salvadori, C. Bonanno, M. Serpelloni In collaboration with: R. McMeeking, University of California at Santa Barbara, USA M. Guo, R. Kamm, “The mechanobiology lab”, MIT, Boston, [...]
PI - A. Salvadori Within Mechanobiology, the misuse of terminology and methods of mechanics is increasingly noted, especially by isolated groups of biochemists and biologists, [...]
PIs - A. Salvadori, M. Serpelloni, A. Luciano*, V. Lodde* * Reproductive and Developmental Biology Laboratory, University of Milan A multidisciplinary approach will tackle the [...]
Mitola's Lab Malignant tumor cells recruit normal cells from surrounding tissue, creating a sophisticated environment composed of tumor cells, immune cells, fibroblasts, adipose cells, macrophages, endothelial cells (ECs), [...]
Mitola's Lab Ovarian cancer (OC) is the eighth most common and most lethal gynecological cancer, with 67,771 new cases and 44,576 deaths in Europe in 2018 (Global Cancer Observatory). [...]
The students involved will actively participate in the research activity of m4lab - Multiscale Mechanics and Multiphysics of Materials Lab, with the aim of understanding the disciplinary interconnections between mechanics [...]
With great satisfaction we share the news that Mattia Serpelloni, research fellow and former doctoral student in Mechanobiology, is the (ex-aequo) recipient of the 2022 award for the best Italian [...]
Arricca, M.; Salvadori, A.; Bonanno, C.; Serpelloni, M. Modeling Receptor Motility along Advecting Lipid Membranes. Membranes (2022) This work aims to overview multiphysics mechanobiological computational models for receptor dynamics [...]
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