Precision Medicine and AI: Engineering the Next Era of Cannabis and Psychedelics Therapeutics
Cannabis and psychedelic therapeutics sit at a scientific inflection point. Clinical evidence is mounting for cannabinoids and compounds like psilocybin and MDMA across pain, treatment-resistant depression, PTSD, and neurological conditions. Yet the field still struggles with a core problem: variability. Patient responses differ widely based on genetics, metabolism, the endocannabinoid system, and complex entourage effects, making standardized dosing and reproducible outcomes difficult to achieve.
Precision medicine and artificial intelligence offer a path forward. Machine learning models can analyze pharmacogenomic data, real-world evidence, and multi-omic datasets to predict individual responses, refine dosing protocols, and stratify patients for trials. AI-driven phenotyping and biomarker discovery accelerate the move from anecdotal use toward defensible, evidence-based therapeutics.
This session unpacks the clinical and technological synergy reshaping the space. The panelists will examine algorithmic dosing models, predictive analytics in trial design, and the data infrastructure required to scale responsibly under evolving cannabis business compliance standards. Throughout, they’ll connect the science to current cannabis market trends and the commercial signals driving investment.

