返回
Accelerating Drug Development Using Spatial Multi-omics
DOI:10.1158/2159-8290.CD-24-0101.png)
摘要
En 中文
Spatial biology approaches enabled by innovations in imaging biomarker platforms and artificial intelligence-enabled data integration and analysis provide an assessment of patient and disease heterogeneity at ever-increasing resolution. The utility of spatial biology data in accelerating drug programs, however, requires balancing exploratory discovery investigations against scalable and clinically applicable spatial biomarker analysis.
Keyword:
ARTIFICIAL-INTELLIGENCE
期刊
IF:
33.3
论文数:
3.9K
被引数:
3.7W
机构
引用论文
Whole-genome and transcriptome analysis enhances precision cancer treatment options全基因组和转录组分析增强了精确的癌症治疗选择
ANNALS OF ONCOLOGY
IF65.4
CD8+ T cell states in human cancer: insights from single-cell analysis人类癌症中的CD8 T细胞状态: 来自单细胞分析的见解
NATURE REVIEWS CANCER
IF66.8
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology组织病理学中的人工智能: 加强癌症研究和临床肿瘤学
NATURE CANCER
IF28.5
Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer量化癌症患者临床行动能力的扩展前景
CANCER DISCOVERY
IF33.3

