
ML4Microbiome helps researchers apply machine learning and statistical modeling to microbiome data to improve ability to identify predictive features and understand disease associations. It operates as a COST Action network that fosters collaboration between microbiome researchers and ML experts through regular meetings, workshops, and training courses. Core technologies include machine learning and statistical modeling; the initiative aims to standardize methods, create publicly available benchmark datasets, and integrate insights into health research workflows. It seeks to automate analysis opportunities and define areas for new method development in microbiome data analysis, targeting broader adoption in health and disease studies. The action focuses on researchers and data scientists, supporting networking and collaboration across institutions to advance microbiome analytics.

ML4Microbiome helps researchers apply machine learning and statistical modeling to microbiome data to improve ability to identify predictive features and understand disease associations. It operates as a COST Action network that fosters collaboration between microbiome researchers and ML experts through regular meetings, workshops, and training courses. Core technologies include machine learning and statistical modeling; the initiative aims to standardize methods, create publicly available benchmark datasets, and integrate insights into health research workflows. It seeks to automate analysis opportunities and define areas for new method development in microbiome data analysis, targeting broader adoption in health and disease studies. The action focuses on researchers and data scientists, supporting networking and collaboration across institutions to advance microbiome analytics.