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Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy
Hossein Azadinejad1, Mohammad Farhadi Rad2, Ahmad Shariftabrizi3
1Department of Immunology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah 6714869914, Iran.
Abstract:
Radioimmunotherapy (RIT) is a novel cancer treatment that combines radiotherapy and immunotherapy to precisely target tumor antigens using monoclonal antibodies conjugated with radioactive isotopes. This approach offers personalized, systemic, and durable treatment, making it effective in cancers resistant to conventional therapies. Advances in artificial intelligence (AI) present opportunities to enhance RIT by improving precision, efficiency, and personalization. AI plays a critical role in patient selection, treatment planning, dosimetry, and response assessment, while also contributing to drug design and tumor classification. This review explores the integration of AI into RIT, emphasizing its potential to optimize the entire treatment process and advance personalized cancer care.
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