An overview of the “-omics” fields at the forefront of next-generation personalized medicine and fundamental systems biology studies

Résumé fourni par la source

The collection of disciplines referred to as "-omics" generally includes genomics, proteomics, and metabolomics, with other sub-fields including transcriptomics, metallomics, and lipidomics playing important roles in the context of emerging healthcare applications.The rapid development in computing power and artificial intelligence for the analysis of immense datasets has great potential for generating disease predicting models and may revolutionize personalized and preventative medicine in the near future.However, these algorithms rely on consistent formatting of data, turning unstructured clinical data into semi-structured data, and reliably annotating putative structures from mass spectrometry data, which are significant challenges.In addition, the complexity of biological systems complicates modeling outside of specific metabolic pathways or genetic interactions; but hidden within this complexity are the biochemical fingerprints that can enable personalized treatment.Indeed, combining analyses of the -omics fields along the structure of the central dogma of biology would represents a herculean task, but would yield incredible predictive power.This review will introduce the major -omics fields listed above, introduce preliminary successes of these methods, and discuss their potential for application in biomedicine.

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