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Current prescribing relies on static THC values for a dynamic biological product. Batch-to-batch chemotype variance causes preventable patient churn.
Legacy botanical classifications like 'Indica' and 'Sativa' fail to predict clinical effects, obscuring the specific terpene profiles that drive patient outcomes.
The Titration Gap
01. INGEST
API pulls live CoA data directly from manufacturers, standardising variance in real-time.
02. ANALYSE
Algorithms map terpene drift against patient history to predict outcome volatility.
03. ALERT
Clinical dashboard flags potential adverse reactions before the prescription is written.
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