重新调整用途
精密医学
癌症
药物重新定位
人工智能
药物发现
计算机科学
医学
深度学习
癌症医学
个性化医疗
生物信息学
数据科学
药品
内科学
病理
药理学
生物
生态学
作者
Bhavneet Bhinder,Coryandar Gilvary,Neel S. Madhukar,Olivier Elemento
出处
期刊:Cancer Discovery
[American Association for Cancer Research]
日期:2021-04-01
卷期号:11 (4): 900-915
被引量:484
标识
DOI:10.1158/2159-8290.cd-21-0090
摘要
Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has led to an explosion of AI use in various aspects of oncology research. These applications range from detection and classification of cancer, to molecular characterization of tumors and their microenvironment, to drug discovery and repurposing, to predicting treatment outcomes for patients. As these advances start penetrating the clinic, we foresee a shifting paradigm in cancer care becoming strongly driven by AI. SIGNIFICANCE: AI has the potential to dramatically affect nearly all aspects of oncology-from enhancing diagnosis to personalizing treatment and discovering novel anticancer drugs. Here, we review the recent enormous progress in the application of AI to oncology, highlight limitations and pitfalls, and chart a path for adoption of AI in the cancer clinic.
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