AI for Plant & Cannabis Biology: Decoding Hidden Genetics (Epistasis) & Next Gen Regulatory Peptides @medicinal.genomics
AI for Plant & Cannabis Biology: Decoding Hidden Genetics (Epistasis) & Next Gen Regulatory Peptides  @medicinal.genomics
Uploaded August 2026 | Updated September 2026, 2 weeks ago
Gabriel Krouk (BionomeeX) presents "AI for Plant & Cannabis Biology: Decoding Hidden Genetics (Epistasis) and Designing the Next Generation of Regulatory Peptides" at CannMed 2026, covering epistatic gene interactions and generative AI peptide design.

This talk introduces a new approach to plant genetics through the analysis of global epistatic interaction maps, revealing how genes work together in ways traditional single-gene studies miss. The concepts are presented in an accessible way, with no deep technical background required.

The second half explores how generative AI can be used to design novel peptides capable of modulating key plant functions. This emerging toolkit holds particular promise for the cannabis research community, opening new possibilities to influence biological processes such as rooting, immune response, stress tolerance, and beyond. Together, these approaches point toward a future where AI-driven insights and molecular design accelerate discovery and innovation in cannabis science.

Gabriel Krouk is a Research Director at CNRS and the co-founder and Chief Scientific Officer of BionomeeX.

This talk was part of the CannMed Cultivation Workshop, a program focused on the science of sustainable cannabis production.

This presentation was given at the CannMed 2026 Innovation & Collaboration Summit, held June 15-18 at the Hyatt Regency Lake Tahoe Resort. Visit cannmedevents.com to learn more.
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Medicinal Genomics |

AI for Plant & Cannabis Biology: Decoding Hidden Genetics (Epistasis) & Next Gen Regulatory Peptides

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