About this Research Topic
The rapid advancement in omics technologies and systems biology has paved the way for transformative approaches in the field of infectious diseases. This article collection explores the convergence of systems immunology, genomics, proteomics, and metabolomics, as well as translational research to enhance our understanding and management of infectious diseases.
The scope of this collection is broad yet focused, aiming to dissect the complex interactions within the immune system that influence disease progression and treatment outcomes. The articles may uncover new biomarkers and molecular pathways that can predict disease susceptibility, course, and response to treatment. Key areas of focus include the application of genomic sequencing to identify pathogen and host genetic variations that affect disease dynamics, the use of proteomic and metabolomic profiling to understand host-response mechanisms, and the integration of this information with clinical and environmental data through computational tools and AI to model disease behaviors and treatment scenarios. This multidisciplinary approach aims to tailor prevention, diagnostic, and therapeutic strategies to individual patient profiles, potentially revolutionizing the management of infectious diseases.
This collection aims not only to present cutting-edge research but also to foster an interdisciplinary dialogue that bridges gaps between immunology, omics, clinical research, and public health policy in the era of precision medicine. We welcome the submissions of articles that cover, but are not limited to, the following sub-topics:
• Advances in infectious disease diagnostics through integrated clinical data and systems immunology.
• Application of precision medicine principles to public health by predicting disease outbreaks and tailoring interventions to populations based on immunological, genetic, environmental, and social factors.
• Development of personalized therapeutics, using insights from systems immunology.
The scope of this collection is broad yet focused, aiming to dissect the complex interactions within the immune system that influence disease progression and treatment outcomes. The articles may uncover new biomarkers and molecular pathways that can predict disease susceptibility, course, and response to treatment. Key areas of focus include the application of genomic sequencing to identify pathogen and host genetic variations that affect disease dynamics, the use of proteomic and metabolomic profiling to understand host-response mechanisms, and the integration of this information with clinical and environmental data through computational tools and AI to model disease behaviors and treatment scenarios. This multidisciplinary approach aims to tailor prevention, diagnostic, and therapeutic strategies to individual patient profiles, potentially revolutionizing the management of infectious diseases.
This collection aims not only to present cutting-edge research but also to foster an interdisciplinary dialogue that bridges gaps between immunology, omics, clinical research, and public health policy in the era of precision medicine. We welcome the submissions of articles that cover, but are not limited to, the following sub-topics:
• Advances in infectious disease diagnostics through integrated clinical data and systems immunology.
• Application of precision medicine principles to public health by predicting disease outbreaks and tailoring interventions to populations based on immunological, genetic, environmental, and social factors.
• Development of personalized therapeutics, using insights from systems immunology.
Keywords: systems immunology, infectious diseases, omics technologies, translational research, genomics, proteomics, metabolomics.
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.
