About this Research Topic
Multi-omics technologies, represented by genome sequencing and proteomics, as well as imaging, pathology, and electronic medical records, have generated a large amount of medical data from different populations, cell types, and diseases. The continuous advancement of new technologies is driving modern scientific research into the era of medical big data. If we want to achieve precise treatment for different populations and diseases, we must identify the therapeutic targets for specific patients or specific diseases with the help of integrated analysis driven by big data. Compared with traditional medicine, applying big data to biomedical analysis will revolutionize the approach to diagnosis and treatment development. It promises to shorten development time, reduce costs and increase the success rate of candidate diagnostic and therapeutic tools.
This Research Topic aims to provide a comprehensive and up-to-date collection of research articles, reviews, mini-reviews, and opinion articles focusing on the application of big data and precision medicine in the current diagnostic and treatment context. We welcome contributions from researchers working in the following areas:
1.The role of integrated multi-omics analysis in disease diagnosis and therapeutic target identification
2. Systematic screening of potential small molecules and biological agents for the treatment of diseases using big data integration technology
3.The significance of multimodal technology in disease diagnosis and treatment by combining imaging and pathology data
4. Use of big data simulation to predict drug targets and reduce drug screening costs
5. Development and optimization of precise treatment modalities for diseases
6. Using big data to predict the best combination of drugs for specific diseases
7. The application of big data in precise treatment, such as disease classification and treatment target prediction
Please note that manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by robust and relevant validation (clinical cohort or biological validation in vitro or in vivo) are out of scope for this Research Topic.
This Research Topic aims to provide a comprehensive and up-to-date collection of research articles, reviews, mini-reviews, and opinion articles focusing on the application of big data and precision medicine in the current diagnostic and treatment context. We welcome contributions from researchers working in the following areas:
1.The role of integrated multi-omics analysis in disease diagnosis and therapeutic target identification
2. Systematic screening of potential small molecules and biological agents for the treatment of diseases using big data integration technology
3.The significance of multimodal technology in disease diagnosis and treatment by combining imaging and pathology data
4. Use of big data simulation to predict drug targets and reduce drug screening costs
5. Development and optimization of precise treatment modalities for diseases
6. Using big data to predict the best combination of drugs for specific diseases
7. The application of big data in precise treatment, such as disease classification and treatment target prediction
Please note that manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by robust and relevant validation (clinical cohort or biological validation in vitro or in vivo) are out of scope for this Research Topic.
Keywords: Multi-omics, Multiple Omics, multimodal technology, proteomics, genome sequencing, big data, precision medicine, Drug Discovery
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.
