About this Research Topic
Machine learning (ML), Artificial Intelligence (AI), and data integration are at the forefront of computational methods development and are becoming fundamental tools to process complex immunological information. These tools can impact virtually all areas of immunology leading to, for example, the identification of new therapeutic targets and optimization of clinical trial design. ML/AI, combined with extensive immune and microbiome profiling, may also result in personalized predictions of health outcomes, such as the response to infection, vaccination, and immunotherapy.
This Research Topic aims to bring together researchers working in various domains of basic and applied immunology, with a common interest in ML/AI and data integration. Our article collection will include state-of-the-art approaches, highlighting common and domain-specific challenges. We welcome the submission of both Original Research and Review articles using ML/AI and data integration in the following areas:
● applications to nutritional immunology, immunometabolism, microbiome analysis
● single cell and bulk analysis of omics and multi-omics data in immune responses
● applications to drug discovery in the context of infectious and inflammatory diseases
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.