摘要
由深度学习算法开启的新一波人工智能的发展极大地促进了大数据分析技术的进展。同时,以高通量基因测序为代表的生命科学的进展提供了海量的医疗数据,人工智能技术也为血液肿瘤研究提供了有力的工具。文章结合第61届美国血液学会年会的报道对相关研究进展进行介绍。
The new wave of artificial intelligence pushed by deep learning algorithms has dramatically promoted the development of big data analysis technology.On the other hand,advances in life sciences represented by high-throughput genome sequencing have provided massive medical data.Artificial intelligence technology has also provided a powerful tool for hematological malignancy research.This article introduces related research progress in the 61st American Society of Hematology Annual Meeting.
作者
刘红星
周晓苏
王芳
曹泮翔
房建成
Liu Hongxing;Zhou Xiaosu;Wang Fang;Cao Panxiang;Fang Jiancheng(Beijing Lu Daopei Institute of Hematology,Beijing 100176,China;Clinical Laboratory Division,Hebei Yanda Lu Daopei Hospital,Langfang 065201,China)
出处
《白血病.淋巴瘤》
CAS
2020年第1期17-19,共3页
Journal of Leukemia & Lymphoma
关键词
血液肿瘤
人工智能
高通量核苷酸测序
大数据
Hematologic neoplasms
Artificial intelligence
High-throughput nucleotide sequencing
Big data