Precision Medicine: Using Artificial Intelligence to Improve Diagnostics and Healthcare

被引:0
|
作者
Whirl-Carrillo, Michelle [1 ]
Brenner, Steven E. [2 ]
Chen, Jonathan H. [3 ,4 ]
Crawford, Dana C. [5 ]
Kidzinski, Lukasz [6 ,7 ]
Ouyang, David [8 ]
Daneshjou, Roxana [1 ,9 ]
机构
[1] Stanford Sch Med, Dept Biomed Data Sci, Stanford, CA 94305 USA
[2] Univ Calif Berkeley, Berkeley, CA USA
[3] Stanford Sch Med, Dept Med, Stanford, CA USA
[4] Stanford Sch Med, Ctr Biomed Informat Res, Stanford, CA USA
[5] Case Western Reserve Univ, Dept Populat & Quantitat Hlth Sci, Cleveland, OH USA
[6] Bioclinica, Stanford, CA USA
[7] Stanford Univ, Stanford, CA USA
[8] Cedars Sinai Med Ctr, Smidt Heart Inst, Los Angeles, CA USA
[9] Stanford Sch Med, Dept Dermatol, Stanford, CA USA
来源
BIOCOMPUTING 2023, PSB 2023 | 2023年
关键词
Artificial intelligence; Machine learning; Genomics; Multi-omics; SEQUENCE VARIANTS;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Precision medicine requires a deep understanding of complex biomedical and healthcare data, which is being generated at exponential rates and increasingly made available through public biobanks, electronic medical record systems and biomedical databases and knowledgebases. The complexity and sheer amount of data prohibit manual manipulation. Instead, the field depends on artificial intelligence approaches to parse, annotate, evaluate and interpret the data to enable applications to patient healthcare At the 2023 Pacific Symposium on Biocomputing (PSB) session entitled " Precision Medicine: Using Artificial Intelligence (AI) to improve diagnostics and healthcare", we spotlight research that develops and applies computational methodologies to solve biomedical problems.
引用
收藏
页码:257 / 262
页数:6
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