What Are the Future Directions in Managing Sample Variability?
The future of managing sample variability lies in the integration of multi-omics approaches, which combine data from genomics, proteomics, and metabolomics. Advances in machine learning and artificial intelligence are also promising, as they can help in identifying patterns and correlations that may not be evident through traditional methods. Personalized medicine approaches, which tailor treatment based on individual patient profiles, are likely to become more effective as we gain a deeper understanding of sample variability.
