《癌症生物学与医学》

Cancer Biology & Medicine

乳腺癌是全球女性发病率最高的恶性肿瘤，持续给全球公共卫生带来严峻挑战。近年来，精准医学、靶向治疗、免疫治疗及转化研究的快速发展，深刻改变了乳腺癌的诊疗格局。特别是人工智能的崛起，正于海量医疗数据与精准临床决策间架设桥梁，为乳腺癌的早期筛查、精准诊断、个体化治疗及预后评估，开辟出前所未有的崭新领域。然而，医疗资源分布不均、疾病特征的地区差异以及如何更有效地将技术创新转化为临床实践，仍是实现全球乳腺癌公平、高质量诊疗的关键障碍。

值此背景下，Cancer Biology & Medicine特邀中国人民解放军总医院江泽飞教授策划“人工智能赋能乳腺癌个体化治疗”专刊，旨在汇聚国内外顶尖专家智慧，系统呈现乳腺癌诊疗的新进展、新思考与新突破。本专刊聚焦乳腺癌精准诊疗前沿，涵盖人工智能在影像诊断与病理诊断中的创新应用、新型治疗手段的精准策略以及基于多组学分析的转化研究探索等方向，特别关注人工智能在诊断、治疗决策及预后评估中的赋能作用，为推进乳腺癌精准诊疗的深化提供前沿证据与学术洞见。

Artificial intelligence empowering precision diagnosis and treatment of breast cancer: advancing global clinical practice with regional insights

Balancing global standards and regional nuances in breast cancer care: the role of guidelines, clinical research, precision medicine, and artificial intelligence in advancing quality of care for patients worldwide

Precision immunotherapy for breast cancer: from biomarkers to clinical practice

Advances in TROP2-targeted antibody-drug conjugates for breast cancer therapy: into the new era

Protocol and statistical designs in classic clinical research—toripalimab series trial analysis

The role of radiomics in predicting the response to neoadjuvant chemotherapy for breast cancer

Artificial intelligence in breast cancer: applications and advancements

Integrative multi-omic analysis identified ERBB2 mutations and senescence-driven immune suppression as dual therapeutic targets in LAR triple-negative breast cancer

Metabolic engineering of SLC38A2 reprograms glutamine utilization and enhances CAR-macrophage antitumor function in solid tumors

Virtual histology imaging of lymph nodes via dynamic full-field optical coherence tomography and deep learning to differentiate metastasis

Multimodal artificial intelligence predicts PIK3CA mutation in breast cancer from digital pathology and clinical data: a multicenter study