21 citations · 47 across the 12 of their papers we have counts for
5 papers · 1 filter
A stochastic agent-based extension of the GSM2 model for particle therapy: cell-cycle dynamics, dose-rate dependence, and fractionation effects
Francesco G. Cordoni, Marco Battestini, Marta Missiaggia
Accurately linking microscopic energy deposition from ionizing radiation to emergent biological outcomes remains a central challenge in radiobiological modelling, particularly when…
One scale to rule them all: interpretable multi-scale Deep Learning for predicting cell survival after proton and carbon ion irradiation
Giulio Bordieri, Giorgio Cartechini, Anna Bianchi +4
The relationship between the physical characteristics of the radiation field and biological damage is central to both radiotherapy and radioprotection, yet the link between spatial…
Integrating nano- and micrometer-scale energy deposition models for mechanistic prediction of radiation-induced DNA damage and cell survival
Giulio Bordieri, Marta Missiaggia, Gianluca Lattanzi +3
We present an integrated modeling framework that combines the Generalized Stochastic Microdosimetric Model (GSM2), used to predict cell survival fractions, with MINAS-TIRITH, a fas…
A multiscale radiation biophysical stochastic model describing the cell survival response at ultra-high dose rate
Marco Battestini, Marta Missiaggia, Sara Bolzoni +2
Ultra-high dose-rate (UHDR) radiotherapy, characterized by an extremely high radiation delivery rate, represents one of the most recent and promising frontier in radiotherapy. UHDR…
The Generalized Stochastic Microdosimetric Model: the main formulation
F. Cordoni, M. Missiaggia, A. Attili +3
The present work introduces a rigorous stochastic model, named Generalized Stochastic Microdosimetric Model (GSM2), to describe biological damage induced by ionizing radiation. Sta…