%0 Journal Article
%T Exploring the Unknown: The Application and Prospects of Artificial Intelligence in Genomics and Bioinformatics
%A Qigang Feng
%A Jie Li
%A Qing Zhang
%J Health
%P 837-848
%@ 1949-5005
%D 2024
%I Scientific Research Publishing
%R 10.4236/health.2024.169059
%X This review comprehensively explores the core application of artificial intelligence (AI) in the fields of genomics and bioinformatics, and deeply analyzes how it leads the innovative progress of science. In the cutting-edge fields of genomics and bioinformatics, the application of AI is propelling a deeper understanding of complex genetic mechanisms and the development of innovative therapeutic approaches. The precision of AI in genomic sequence analysis, coupled with breakthroughs in precise gene editing, such as AI-designed gene editors, significantly enhances our comprehension of gene functions and disease associations . Moreover, AI’s capabilities in disease prediction, assessing individual disease risks through genomic data analysis, provide robust support for personalized medicine. AI applications extend beyond gene identification, gene expression pattern prediction, and genomic structural variant analysis, encompassing key areas such as epigenetics, multi-omics data integration, genetic disease diagnosis, evolutionary genomics, and non-coding RNA function prediction. Despite challenges including data privacy, algorithm transparency, and bioethical issues, the future of AI is expected to continue revolutionizing genomics and bioinformatics, ushering in a new era of personalized medicine and precision treatments.
%K AI
%K Genomics
%K Disease Prediction
%K Gene Editing
%K Multi-Omics Data Fusion
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=136134