Cannabis data lacking, but machine learning could help fill the gapPosted by On

Cannabis data lacking, but machine learning could help fill the gap
Biologist Daniela Vergara studies the genetics of cannabis. Credit: University of Colorado at Boulder

Anyone who has used, sold, studied or even read much about marijuana likely recognizes these acronyms as active ingredients in the plant.

But beyond intoxicating tetrahydrocannabinol (THC) and therapeutic cannabidiol (CBD), there exists a diverse array of chemicals believed to quietly interact—a phenomenon known as the ‘entourage effect’—influencing how each unique cannabis strain makes people feel.

To date, the cannabis industry has collected remarkably little data about those lesser-known compounds, new University of Colorado Boulder…

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