TechBio and Microbiome (IV)
MetaphysicalCells: A newsletter about Science, Technology and AI Drug Discovery
👉🏼 TechBio and Microbiome (IV).
TechBio and Microbiome (IV)
The intersection of microbiome 🦠 research and artificial intelligence (AI) represents a rapidly evolving field with immense potential for transforming healthcare, agriculture, and environmental science. Platforms like Qiime2 (analyzes microbial multi-omics data), MetaPhlAn4 (a computational tool for species-level microbial profiling, bacteria, archaea, eukaryotes, and viruses, from metagenomic shotgun sequencing data), and Kraken (a system for assigning taxonomic labels to short DNA sequences, usually obtained through metagenomic studies), they all integrate AI to classify microbial species and analyze functional pathways.
Deep learning (DL) frameworks such as TensorFlow and PyTorch are increasingly adopted for microbiome data analysis, to build custom AI models for microbiome analysis. Random Forests and Gradient Boosting are commonly applied for feature selection and classification tasks. Cloud-Based Platforms like One Codex and BaseSpace provide cloud-based solutions for microbiome data storage, analysis, and visualization.
Companies like Second Genome (utilizing AI to decode host-microbe interactions for drug discovery), Viome (offering personalized nutrition 🥦 recommendations based on gut microbiome analysis offered by the Gut Intelligence Test and the Immune Intelligence Test), and Seed Health (developing AI-guided probiotics targeting specific health conditions), they all leverage AI to decode the human microbiome and develop precision health solutions.