About this Research Topic
In recent years, there has been a surge in new high-throughput technologies enabling profiling of multi-omics data, namely genomics, epigenomics, transcriptomics, metabolomics, proteomics, and metagenomics. Parallelly, computational algorithms and tools have been developed to mine the plethora of data generated worldwide. Integration of these multi-omic profiles has taken center stage in biomedical research as it offers a holistic view of the system under consideration.
The field of systems biomedicine emerged with a special interest and focus on integrating multi-omics data to gain condition-specific systems-level understanding. Systems biomedicine holds the key for the translation of these insights from bench to bedside. Therefore, it is imperative to highlight the potential of computational approaches in answering a broad spectrum of biomedical questions in this special issue, thereby promoting this budding and promising field.
Thus, in this Research Topic, we invite original research, perspectives, reviews, and mini-review articles, focusing on computational approaches enabling systems biomedicine. The contents covered in this collection may include but are not limited to the following:
1. diagnostics of complex diseases that manifest in multiple organs systems
2. prediction of disease onset and/or progression
3. identification of novel disease endotypes to support precision medicine
4. determination of the influence of organ systems, such as gut-microbiome, in therapeutic interventions or in maintenance of pathology off-site
5. identification of novel therapeutic purposes of existing approved drugs
6. integrative “omics” approach to explore the system in a condition-specific manner
7. models for predictions and identification of markers in complex diseases.
8. unsupervised or supervised statistical learning, network-inference, or network-based methods, as well as novel use of existing algorithms that reveal novel biomedical insights
The field of systems biomedicine emerged with a special interest and focus on integrating multi-omics data to gain condition-specific systems-level understanding. Systems biomedicine holds the key for the translation of these insights from bench to bedside. Therefore, it is imperative to highlight the potential of computational approaches in answering a broad spectrum of biomedical questions in this special issue, thereby promoting this budding and promising field.
Thus, in this Research Topic, we invite original research, perspectives, reviews, and mini-review articles, focusing on computational approaches enabling systems biomedicine. The contents covered in this collection may include but are not limited to the following:
1. diagnostics of complex diseases that manifest in multiple organs systems
2. prediction of disease onset and/or progression
3. identification of novel disease endotypes to support precision medicine
4. determination of the influence of organ systems, such as gut-microbiome, in therapeutic interventions or in maintenance of pathology off-site
5. identification of novel therapeutic purposes of existing approved drugs
6. integrative “omics” approach to explore the system in a condition-specific manner
7. models for predictions and identification of markers in complex diseases.
8. unsupervised or supervised statistical learning, network-inference, or network-based methods, as well as novel use of existing algorithms that reveal novel biomedical insights
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.
