Integrating nano- and micrometer-scale energy deposition models for mechanistic prediction of radiation-induced DNA damage and cell survival

Documenti analoghi

• One scale to rule them all: interpretable multi-scale Deep Learning for predicting cell survival after proton and carbon ion irradiation
  di: Bordieri, Giulio, et al.
  Pubblicazione: (2026)
• A mechanistic‐based normal tissue complication probability (NTCP) prediction through a microdosimetry‐based multiscale radiation biophysical model (MS‐GSM 2 )
  di: Marco Battestini, et al.
  Pubblicazione: (2026)
• A combined dose and microdosimetric modeling framework incorporating volume effects correlates with tissue sparing in proton minibeam radiotherapy
  di: Bordieri, Giulio, et al.
  Pubblicazione: (2026)
• Mechanistic driven TCP and NTCP modeling for particle therapy accounting for a broad range of physical irradiation parameters and tissue environmental conditions
  di: Battestini, Marco, et al.
  Pubblicazione: (2026)
• A stochastic agent-based extension of the GSM2 model for particle therapy: cell-cycle dynamics, dose-rate dependence, and fractionation effects
  di: Cordoni, Francesco G., et al.
  Pubblicazione: (2026)