Radiation therapy is a common treatment for cancer, aiming to maximize tumour cell kill while limiting healthy tissue radiation exposure. Sophisticated simulations using the Monte Carlo technique are used to model the passage of radiation through matter and calculate dose, the energy deposited in tissue by radiation. This presentation will focus on the development and application of computational techniques to study energy deposition in different contexts towards advancing radiation therapy. These include patient-level simulations with direct applications in current treatments, cell-level simulations including applications for prospective treatments involving nanoparticles and, finally, subcellular-level simulations considering possible quantum effects in electron transport.
Identifiant: 407 410 3908
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