Applying artificial intelligence for cancer immunotherapy

• 作者: Zhijie Xu Xiang Wang Shuangshuang Zeng Xinxin Ren Yuanliang Yan Zhicheng Gong
• 来源期刊: 药学学报（英文版）
• 年，卷（期）: 2021,（11）
• 所属期刊栏目: Reviews
• 页码范围: 3393-3405
• 页数: 13页
• 语种: 英文

摘要

Artificial intelligence(AI)is a general term that refers to the use of a machine to imitate intelligent behavior for performing complex tasks with minimal human intervention,such as machine learning;this technology is revolutionizing and reshaping medicine.AI has considerable potential to per-fect health-care systems in areas such as diagnostics,risk analysis,health information administration,lifestyle supervision,and virtual health assistance.In terms of immunotherapy,AI has been applied to the prediction of immunotherapy responses based on immune signatures,medical imaging and histolog-ical analysis.These features could also be highly useful in the management of cancer immunotherapy given their ever-increasing performance in improving diagnostic accuracy,optimizing treatment planning,predicting outcomes of care and reducing human resource costs.In this review,we present the details of AI and the current progression and state of the art in employing AI for cancer immunotherapy.Further-more,we discuss the challenges,opportunities and corresponding strategies in applying the technology for widespread clinical deployment.Finally,we summarize the impact of AI on cancer immunotherapy and provide our perspectives about underlying applications of AI in the future.