外科肿瘤学
医学
乳腺癌
肿瘤科
个性化医疗
临床肿瘤学
新辅助治疗
内科学
癌症
医学物理学
生物信息学
生物
作者
Rachida Hachache,Ali Yahyaouy,Jamal Riffi,Hamid Tairi,Soukayna Abibou,Mohammed El Adoui,Mohammed Benjelloun
出处
期刊:BMC Cancer
[BioMed Central]
日期:2024-10-21
卷期号:24 (1): 1300-1300
被引量:9
标识
DOI:10.1186/s12885-024-13049-0
摘要
This paper seeks to unveil crucial insights into the application of AI techniques in personalized oncology, particularly in the monitoring and prediction of responses to NAT for BC patients. Finally, the authors suggest avenues for future research into AI-based monitoring systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI