Metabolomics And Machine Learning For Improved Diagnostics And As A Tool To Accelerate Drug Development

This article discusses the potential of metabolomics and machine learning in revolutionizing clinical biomarker discovery and drug development. With advancements in technology and a deeper understanding of biology, the ability to measure thousands of metabolites in a single sample is now feasible. However, challenges such as reproducibility, sample logistics, and complex statistics must be addressed. The article provides use cases and best practices for those looking to apply metabolomics and machine learning in their research.