Phenomics applies artificial intelligence and information retrieval to analyze biological systems from first principles. The technique observes the source code of life (genomic sequences), connected to a sparse time series of epigenetic and environmental data, to detect health transition patterns. This approach was first tested in a NASA twin astronaut study, later honed for liquid biopsies in recent years. While the cost was the tens of millions with NASA to thousands for digital biopsies, the price point is dropping precipitously thanks to advances in AI, genomics sequencing, and cloud computing. Soon we'll be able to sequence a patient for $50, using AI and IR to detect early transitions, then recommend simple actions to maintain optimal health. This talk explores these first principles, provides a quick survey of state of the art, and posits future developments.