About this Research Topic
Data science and AI approaches for the analysis of very complex and heterogeneous data, such as from multi-omics and inter-omics experiments, are more and more important in order to pave the way for novel concepts in, e.g., personalized medicine or novel biotechnological applications. Researchers from the field of bioinformatics and computational biology must collaborate in parallel with (bio-) medical/biotechnological and computer science focused communities in order to develop innovative and user-friendly bioinformatics tools in the era of big data.
This Research Topic welcomes articles presenting novel developments in the field of artificial intelligence in biology and medicine, and their applications to the analysis of high-throughput data from omics and inter-omics approaches.
Different type of articles can be published within this Research Topic: Original Research, Systematic Review, Mini-Review, Case Report, Hypothesis. Other types of articles can be proposed to the Topic Editors who will evaluate their suitability.
Keywords: Artificial intelligence, Multi-omics, Systems Biology, Biomedical data science, Machine learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.