Role of bioinformatics and AI in understanding inflammation and immune microenvironment dynamics

Bioinformatics and artificial intelligence are pivotal in the current transformation of biomedical research, particularly in the field of inflammatory diseases. These tools enable the in-depth analysis of vast biological datasets from genomic, transcriptomic, and proteomic studies, uncovering complex biological mechanisms. Through a data-driven approach, bioinformatics helps in identifying new biomarkers for inflammation critical to disease pathogenesis and progression. These biomarkers are crucial for early detection, assessing disease risk, and tracking responses to treatments in conditions like rheumatoid arthritis and psoriasis. Moreover, AI models improve the prediction of treatment outcomes and enable personalized therapy plans by analyzing individual inflammation profiles. This synergistic application of bioinformatics and AI is streamlining biomarker discovery and aiding in the formulation of novel therapeutic approaches, enhancing patient outcomes in clinical settings.

This research topic aims to develop and elucidate the roles of inflammation-related biomarkers using bioinformatics and AI, particularly in their ability to influence the dynamics of the immune microenvironment. Through advanced computational analysis and AI, it seeks to improve our comprehension of immune processes and response mechanisms, which are crucial for creating targeted treatment options.

To advance the understanding of biomarkers in the context of inflammation, this Research Topic encourages contributions that address but are not limited to the following themes:

- Characterization of immune cell heterogeneity in inflamed tissues through single-cell RNA sequencing data to identify new therapeutic targets.
- Application of systems biology to study interactions within biological pathways associated with chronic inflammation.
- Development of AI models to predict disease progression using clinical and molecular data.
- Identification of effective drugs for inflammatory conditions through computational analysis of their impact on biomarkers.
- Bioinformatics analysis of changes in the immune microenvironment in response to therapies to evaluate treatment success.

Note: Manuscripts that solely rely on bioinformatics or computational analyses of public genomic or transcriptomic databases, without substantial validation through clinical cohorts or biological models, will not be considered within this topic’s scope.