Machine learning (artificial intelligence) is the future of understanding how patterns of stress response, adaptation, and recovery can be used to predict resilience and longevity.

With our first paper identifying ways that machine learning can distinguish mild dehydration (dry) vs. hydrated state (wet), we embark on a new journey to include machine learning approaches to analyze our -omics datasets. Come back to see more papers and projects as they are published!