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Omics and Artificial Intelligence in Kidney Diseases.
Nadja Grobe1, Josef Scheiber2, Hanjie Zhang1
1Renal Research Institute, New York, NY.
Advances in Kidney Disease and Health
|February 1, 2023
Summary
Omics technologies offer future potential for kidney disease patient care through biomarker discovery and personalized medicine. Integration with artificial intelligence is needed for clinical diagnostics and treatment strategies in nephrology.
Area of Science:
- Nephrology
- Genomics
- Proteomics
- Metabolomics
- Systems Biology
Background:
- Omics applications show promise for advancing kidney disease patient care.
- Biomarker identification through omics levels can benefit patients in the short term.
- Holistic integration of omics data is crucial for long-term individualized patient care.
Purpose of the Study:
- To review the current and future relevance of omics applications in nephrology.
- To highlight the potential of omics for understanding, risk stratification, and individualized treatment of kidney disease.
- To identify the gap in combining omics with artificial intelligence for clinical nephrology.
Main Methods:
- Literature review of omics applications in nephrology research.
- Analysis of current evidence supporting omics in kidney disease.
- Identification of future research directions for omics integration.
Main Results:
- Omics data provide robust evidence for improved understanding and risk stratification in kidney disease.
- Short-term benefits include specific biomarker analyses.
- Long-term benefits require holistic integration for personalized care.
Conclusions:
- Omics technologies hold significant future potential for improving clinical care in nephrology.
- Further research is needed to integrate omics with artificial intelligence for clinical diagnostics and patient management.
- Personalized medicine approaches in nephrology can be enhanced through advanced omics strategies.
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