Topics

1. Seed selection and breeding

2. Analyze data on cannabis consumption patterns

3. Predicting consumer demand

4. Analyze data on the environmental impact of cannabis cultivation

5. Managing supply chain logistics

6. Analyze data on the efficacy of different cannabis products for treating specific conditions

Rare Diseases

7. Predicting the effects of different strains of cannabis on different individuals

Best NNs for predicting effects based on genomics

8. Analyze data on the interactions between cannabis and other medications

9. Detect contaminants in cannabis products

10. Analyse effects of growing conditions on chemical composition

Questions

AI/ML in Cannabis Research

Using LLMs in Medical Cannabis Research

1. Can we predict expression from genome data (e.g. SNP and methylation)?
2. Can we predict reported effects in consumers from plant genome data alone? What about in combination with human genome data?
3. Can we identify new genes, transcripts, and protein domains, interactions, and functions (compare to benchmarks)?
4. Can we engineer cannabinoid synthase and terpene synthase genes to have higher production than wild-type?
   1. https://news.mit.edu/2023/fanzor-system-in-animals-can-edit-human-genome-0628
   2. https://www.nature.com/articles/s41592-022-01604-1/metrics
5. Can we engineer other physiological traits of cannabis plants?
6. Evaluate responses to asking CGD-GPT about a list of common myths, popular misconceptions, and paradigm beliefs regarding cannabis.