Proposing a New Schema for Lab Samples & Events

Artificial intelligence is becoming more and more important for drawing conclusions, recognizing trends and spotting discrepancies in laboratory sample data.  This schema communicates the status of scientific samples in a way that the world is using for other objects already, via standards. This lets anyone involved in the custody, testing and drawing conclusions possess the data and understanding about what happened to a sample through its handling and test history.

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