Harnessing artificial intelligence to address immune response heterogeneity in low-dose radiation therapy DOI
Jingqi Zeng, Ying Gao, Xiao‐Bin Jia

et al.

World Journal of Radiology, Journal Year: 2025, Volume and Issue: 17(5)

Published: May 26, 2025

Low-dose radiation therapy has emerged as a promising modality for cancer treatment because of its ability to stimulate antitumor immune responses while minimizing damage healthy tissues. However, the significant heterogeneity in among patients complicates clinical application, hindering outcome prediction and personalization. Artificial intelligence (AI) offers transformative solution by integrating multidimensional data such immunomics, radiomics, features decode complex patterns predict individual therapeutic outcomes. This editorial explored potential AI address response low-dose proposed an AI-driven framework precision immunotherapy. While promising, challenges, including standardization, model interpretability, validation, must be overcome ensure successful integration into oncological practice.

Language: Английский

Advancements and implications of artificial intelligence for early detection, diagnosis and tailored treatment of cancer DOI
Sonia Chadha, Sayali Mukherjee, Somali Sanyal

et al.

Seminars in Oncology, Journal Year: 2025, Volume and Issue: 52(3), P. 152349 - 152349

Published: May 8, 2025

Language: Английский

Citations

0
Harnessing artificial intelligence to address immune response heterogeneity in low-dose radiation therapy DOI
Jingqi Zeng, Ying Gao, Xiao‐Bin Jia

et al.

World Journal of Radiology, Journal Year: 2025, Volume and Issue: 17(5)

Published: May 26, 2025

Low-dose radiation therapy has emerged as a promising modality for cancer treatment because of its ability to stimulate antitumor immune responses while minimizing damage healthy tissues. However, the significant heterogeneity in among patients complicates clinical application, hindering outcome prediction and personalization. Artificial intelligence (AI) offers transformative solution by integrating multidimensional data such immunomics, radiomics, features decode complex patterns predict individual therapeutic outcomes. This editorial explored potential AI address response low-dose proposed an AI-driven framework precision immunotherapy. While promising, challenges, including standardization, model interpretability, validation, must be overcome ensure successful integration into oncological practice.

Language: Английский

Citations

0