International audienceAccurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remains a major scientific challenge, particularly for understanding the effects of low doses of ionizing radiation on living beings, such as the induction of carcinogenesis. A computational approach based on the Monte Carlo technique to simulate track structures in a biological medium is currently the most reliable method for calculating the early effects induced by ionizing radiation on DNA, the primary cellular target of such effects. The Geant4-DNA Monte Carlo toolkit can simulate not only the physical, but also the physico-chemical and chemical stages of water radiolysis. These stages can be combined with simplified geom...
1. Introduction Ionising radiation induced DNA damage and subsequent biological responses depend on ...
Monte Carlo (MC) mechanistic simulations are a promising tool for the modeling of early DNA damage i...
International audienceThe use of Monte Carlo (MC) simulations remains a powerful tool to study the b...
International audienceAccurately modeling the radiobiological mechanisms responsible for the inducti...
International audienceAccurately modeling the radiobiological mechanisms responsible for the inducti...
International audienceAccurately modeling the radiobiological mechanisms responsible for the inducti...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
International audienceAccurately modeling the radiobiological mechanisms responsible for the inducti...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Introduction: Monte Carlo (MC) mechanistic simulations are a promising tool for the modeling of earl...
Introduction: Monte Carlo (MC) mechanistic simulations are a promising tool for the modeling of earl...
1. Introduction Ionising radiation induced DNA damage and subsequent biological responses depend on ...
Monte Carlo (MC) mechanistic simulations are a promising tool for the modeling of early DNA damage i...
International audienceThe use of Monte Carlo (MC) simulations remains a powerful tool to study the b...
International audienceAccurately modeling the radiobiological mechanisms responsible for the inducti...
International audienceAccurately modeling the radiobiological mechanisms responsible for the inducti...
International audienceAccurately modeling the radiobiological mechanisms responsible for the inducti...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
International audienceAccurately modeling the radiobiological mechanisms responsible for the inducti...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Accurately modeling the radiobiological mechanisms responsible for the induction of DNA damage remai...
Introduction: Monte Carlo (MC) mechanistic simulations are a promising tool for the modeling of earl...
Introduction: Monte Carlo (MC) mechanistic simulations are a promising tool for the modeling of earl...
1. Introduction Ionising radiation induced DNA damage and subsequent biological responses depend on ...
Monte Carlo (MC) mechanistic simulations are a promising tool for the modeling of early DNA damage i...
International audienceThe use of Monte Carlo (MC) simulations remains a powerful tool to study the b...