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Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy Azadinejad, Hossein; Farhadi Rad, Mohammad; Shariftabrizi, Ahmad; Rahmim, Arman; Abdollahi, Hamid

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.

Item Metadata

Title
Optimizing Cancer Treatment: Exploring the Role of AI in Radioimmunotherapy
Creator
Azadinejad, Hossein; Farhadi Rad, Mohammad; Shariftabrizi, Ahmad; Rahmim, Arman; Abdollahi, Hamid
Contributor
BC Cancer Research Centre. Integrative Oncology
Publisher
Multidisciplinary Digital Publishing Institute
Date Issued
2025-02-06
Description
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.
Subject
radioimmunotherapy; cancer treatment; personalized medicine; monoclonal antibodies
Genre
Article
Type
Text
Language
eng
Date Available
2025-02-21
Provider
Vancouver : University of British Columbia Library
Rights
CC BY 4.0
DOI
10.14288/1.0448118
URI
http://hdl.handle.net/2429/90413
Affiliation
Medicine, Faculty of; Science, Faculty of; Non UBC; Physics and Astronomy, Department of; Radiology, Department of
Citation
Diagnostics 15 (3): 397 (2025)
Publisher DOI
10.3390/diagnostics15030397
Peer Review Status
Reviewed
Scholarly Level
Faculty
Rights URI
https://creativecommons.org/licenses/by/4.0/
Aggregated Source Repository
DSpace

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CC BY 4.0