Artificial Intelligence Drives Advances in Multi-Omics Analysis and Precision Medicine for Sepsis
Indexed incrossrefdoajpubmed
Abstract
Sepsis is a life-threatening syndrome characterized by marked clinical heterogeneity and complex host-pathogen interactions. Although traditional mechanistic studies have identified key molecular pathways, they remain insufficient to capture the highly dynamic, multifactorial, and systems-level nature of this condition. The advent of high-throughput omics technologies-particularly integrative multi-omics approaches encompassing genomics, transcriptomics, proteomics, and metabolomics-has profoundly reshaped sepsis research by enabling comprehensive profiling of molecular perturbations across biological layers. However, the unprecedented scale, dimensionality, and heterogeneity of multi-omics datasets exceed the…
Citation impact
7
total citations
- FWCI
- 109.53
- Percentile
- 100%
- References
- 97
Too recent for citation history.
Authors
7Topics & keywords
Topics
Keywords
- Interpretability
- Precision medicine
- Generalizability theory
- Sepsis
- Profiling (computer programming)
- Deep learning
No related works found for this paper.