Precision Medicine and Big Data Research Progress in Inflammatory Diseases
1The First Hospital of Jilin University, Changchun, China
2New York State Institute for Basic Research in Developmental Disabilities, Staten Island, USA
3Huazhong University of Science and Technology, Wuhan, China
Precision Medicine and Big Data Research Progress in Inflammatory Diseases
Description
With the increasing urbanization, aging process, and lifestyle changes, inflammatory diseases have become one of the important threats affecting the global population health, including many infectious and autoimmune diseases, malignant tumors, cardiovascular diseases, diabetes, and other chronic NCDs, which belong to the category of inflammatory diseases. These diseases are spreading globally and have evolved into important public health problems that seriously jeopardize human health and socioeconomic sustainable development. Seizing the commonality mechanisms of inflammation occurrence and development among these numerous diseases to conduct research will provide new strategies for disease prevention, diagnosis and treatment.
The extraction of insightful and actionable knowledge from the streams of omics data related to patients is helpful to the effective therapies tailored to the molecular characteristics of an individual's actual. Some exciting technological advances combine a wide range of experimental high-throughput methods, including microarrays, different next-generation sequencing (NGS) technologies, NMR, LC/GC–MS, and so on. These methods, when applied to the same biospecimen at the same time, create information with remarkable molecular precision that may be supplemented with different forms of imaging data, bio-signals, or clinical records.
This Special Issue intends to bring together new findings of inflammation disease research related to big data, bioinformatics, and precision medicine. Papers having strong linkages to inflammatory disease-associated multi-omic integration, big data analytics, and health monitoring/diagnostic applications are encouraged. We welcome both original research and review articles.
Potential topics include but are not limited to the following:
- Advances in inflammation disease multi-omic integration
- Inflammation disease drugs molecular network modeling/visualization
- Machine/deep learning approaches in inflammation disease precision medicine
- Laboratory validation of inflammation disease key pathogenic genes
- Intelligent pharmacogenomic analysis in inflammation disease
- Progress in inflammation disease pathological research
- Precision medicine in the treatment of inflammatory diseases
- Inflammation disease clinical big data analysis
- Inflammation disease treatment evidence-based medicine
- Bioinformatics