Multiscale Computational Modeling of Radiation Dose Distribution in Advanced Cancer Therapy Techniques
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Abstract
Radiation therapy is considered the fundamental part of modern treatment for cancers and is utilized in more than half of the total cases of cancer in the world. But the most challenging aspect in the treatment of cancer is the allocation of a suitable dose of radiation to the affected tissues. The main aims of this study are to understand how uniform radiation doses were applied during the years 1995 to 2024 and to evaluate the improvement in dose uniformity, tissue absorption optimization, and model accuracy over time. This research was conducted by collecting secondary data aligned with the dosimetry and imaging standards recommended by IAEA, ICRP, and WHO medical physics guidelines. Using graphs, statistics and comparisons, we observe how these values changes with time and the relationship among parameters. Some of the key developments that were realized in this period are mentioned below. Increased dose uniformity by almost 900% and optimization of tissue absorption by 366% were realized, and model accuracy almost doubled. At present, multiscale modeling has a key role to play in the clinical treatment planning process. In the future, AI systems are expected to drive precision medicine for oncology to even greater heights by facilitating quicker and highly personalized calculations of radiation dose based on individual patients
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Publication Details
- Type of Publication:
- Conference Name: International Conference on Electronics and Informatics 2026
- Date of Conference: 05/07/2026 - 05/07/2026
- Venue: Atomic Energy Centre, Dhaka
- Organizer: Bangladesh Electronics and informatics Society