… and the CCMRI papers are published!; 🌍 two innovative applications of Artifical Intelligence/Large Language Models (LLMs) on microbiome research can be found below:

📚 Published Papers 🔬

  • Loukas A, Kalaentzis K, Venetsianou NK, Damianou C, Paragkamian S, Lagani V, Jensen LJ, Pafilis E. 2026. CCMRI: a classification and curated database of climate change-related microbiome studies. Sci Rep 16, 20829 (2026); https://doi.org/10.1038/s41598-026-51914-z 🔗 Abstract • Full text • Web platform

    📝 Key Takeaway: Introduces a curated framework of 169 climate-related microbiome datasets. By deploying a hybrid LLM-triaging and curator-validation engine, the pipeline achieved a 30-fold acceleration in dataset processing efficiency compared to traditional manual workflows.

  • Venetsianou NK, Paragkamian S, Kalaentzis K, Loukas A, Damianou C, Lagani V, Jensen LJ, Pafilis E. 2026. LLM-Assessed Relatedness of Microbiome Study Descriptions Aligns more Strongly with Functional than with Taxonomic Profile Similarity. Microb Ecol. 89, 104 (2026) doi: 10.1007/s00248-026-02730-5. 🔗 Abstract • Full text • Repository

    📝 Key Takeaway: Demonstrates that related microbiome studies tend to share functional profiles more than community composition (taxonomic profiles).

#ccmri #microbiome #climate change #LLM #curation #functional similarity #study relatedness