Research Projects

Microdosimetry is an essential technique for understanding and improving the effectiveness of radiation therapy and radiopharmaceutical treatments for cancer. Microdosimetry helps predict DNA damage, cell killing, and other biological effects by analyzing how radiation energy is distributed on a microscopic scale. This information is vital in optimizing advanced therapies like proton and alpha-targeted therapy. Moreover, […]

We recently developed a groundbreaking tool named MIDOS, aimed at revolutionizing liver cancer treatment through Transarterial Radioembolization (TARE). TARE is an innovative procedure where radioactive microspheres are injected into the liver’s arterial supply to target and destroy liver tumors while sparing healthy tissue. However, optimizing this treatment for each individual patient has remained a challenge

Simulating the diffusion of alpha-particle emitters in decay chains, such as Ra224, using the TOPAS toolkit is crucial for understanding the underlying mechanisms of diffusive alpha radiotherapy (DART). This process can result in daughter particles, like Pb-212, traveling millimeters away from the initial source, impacting the distribution of radiation dose. Accurate Monte Carlo-based dose calculations

Developing tumor models that simulate dynamics and evolution, including the effects of angiogenesis, radiation-induced vascular damage, interstitial pressure, extracellular factors, and cell-scale interactions, is essential in cancer research. By considering the complex interplay between various cell subpopulations and microenvironmental factors, these models provide a comprehensive understanding of tumor growth and treatment response. This enhanced understanding

Simulating in vitro experiments under realistic conditions is crucial in radiopharmaceutical research, and Monte Carlo techniques using the TOPAS toolkit can provide valuable insights. These simulations account for changing exposure conditions due to binding affinity, internalization, secretion, physical decay, and cell-washing procedures. By closely mimicking actual experimental conditions, Monte Carlo simulations can help researchers study

DNA repair models that incorporate a repair “clock” are crucial in radiopharmaceutical therapy, as they account for the continuous radiation dose experienced by cells during treatment. These models consider the simultaneous processes of damage induction and repair, allowing for a more accurate prediction of cellular outcomes. By evaluating the remaining damage at specific cell cycle