Artificial Intelligence in Omics
Year: 2022
Type: editorial
Abstract: Artificial intelligence (AI) is a powerful approach for solving complex problems in the processing, analysis, and interpretation of omics data, as well as the integration of multi-omics and clinical data.In recent years, AI has enabled remarkable breakthroughs across diverse biomedical fields, such as genomic variant interpretation, protein structure prediction, disease diagnosis, and drug discovery.Aiming to provide a forum for advances in the development and application of AI-based tools in omics, we have organized a special issue ''Artificial Intelligence in Omics" for the journal Genomics, Proteomics & Bioinformatics (GPB).This special issue covers a broad spectrum of topics, including but not limited to: 1) AI-based models, methods, and software for the processing, analysis, visualization, and interpretation of omics data; 2) AI-based algorithms for the integrative analysis of omics, clinical, and health data, including biomedical images; 3) AI-based platforms for improving disease diagnosis, precision medicine, and patient
Authors: Feng Gao, Kun Huang, Yi Xing
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,500
Funders: Eli Lilly and Company, Merck
OpenAlex ID: W4315607661