Gene Mutation AI H2O.ai and Snowflake Partner in Health 2022 DNA Analysis The Data Automated Machine Learning for Autogenerated Code Model Interpretability Machine Learning Explainable Insights DNA information is distributed across more than 20,000 genes and half a million clinically relevant mutations. There are nearly 22,000 columns of data in the gene sequences of each patient which H2O.ai and Snowflake can process in mere seconds. Convert VCF files to a dataset that is suitable for machine learning. The SQL is dynamically generated and predictions are automatically created for every single patient in the table in a matter of seconds. Automated drift detection identifies any variance between the training data and the specific table being used for model scoring. Model transparency r

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