The role of AI-driven decision support in immunotherapy for predicting pathological complete response in triple-negative breast cancer.
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| Title: | The role of AI-driven decision support in immunotherapy for predicting pathological complete response in triple-negative breast cancer. |
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| Authors: | Lu D; School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.; Department of Breast, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Tu X; College of Clinical Medicine, North Sichuan Medical College, Nanchong, Sichuan, China., Zeng Y; School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.; Department of Breast, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Zhong H; School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.; Department of Breast, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Xing T; Department of Breast, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Wang Y; Department of Health Management Center, Qionglai Medical Center Hospital, Qionlai, Sichuan, China., Wang R; Sichuan Mianyang 404 Hospital, Mianyang, Sichuan, China., Zhang P; Department of Breast, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. |
| Source: | Frontiers in oncology [Front Oncol] 2026 Apr 13; Vol. 16, pp. 1798015. Date of Electronic Publication: 2026 Apr 13 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2234-943X |
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| DOI: | 10.3389/fonc.2026.1798015 |
