Editorial: Bioinformatics and systems biology strategies in disease management with a special emphasis on cancer, Alzheimer’s disease and aging
Tiratha Raj Singh, Brigitte Vannier, Ragini Raj Singh, Hari Om Yadav, Holger Fröhlich
TL;DR
The paper discusses how bioinformatics and systems biology can help manage diseases like cancer and Alzheimer's through advanced data and modeling techniques.
Contribution
It emphasizes the integration of multi-omics data and computational approaches for translational applications in disease management.
Findings
Multi-omics data and computational modeling are key for understanding complex diseases.
Network analysis and nanotechnology offer new diagnostic and therapeutic strategies.
A circular process between concepts and applications enhances translational research.
Abstract
Bioinformatics and systems biology strategies for managing cancer and Alzheimer's disease. Key concepts include multi-omics data, computational modeling, network analysis, and nanotechnology. Translational applications cover diagnostics, prognostics, and therapeutics. Arrows suggest a circular process between concepts and applications.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsCancer-related cognitive impairment studies · GDF15 and Related Biomarkers · Biological Research and Disease Studies