37C3 - Gut feelings: Can we optimize lifestyle, diet and medication according to our respective mic

Optimize lifestyle, diet, and medication based on individual microbiome compositions, and explore how machine learning can help analyze and predict responses to interventions for improved health outcomes.

Key takeaways
  • Optimize lifestyle, diet, and medication according to individual microbiome compositions
  • Understand that everyone’s microbiome is unique and influenced by personal health definition and goals
  • Recognize that insecticides, antibiotics, and other substances alter the microbiome, and their interactions with medications should be studied
  • Microbiome composition changes in response to diet and other factors, influencing health and disease
  • Current research lacks standardization and sharing of data
  • Machine learning and large language models can help in analyzing and predicting microbiome responses to interventions
  • Study and understand human microbiome interactions and variability
  • Predict postprandial blood sugar and lipid spikes by analyzing dietary composition
  • Increase understanding of how gut microbiome composition affects drug efficacy and side effects
  • Study and predict how medications affect microbiome composition
  • Understand and predict how gut microbiome composition affects health, especially in diseases like diabetes and cardiovascular disease
  • Study how nutritional interventions and medications interact with the gut microbiome to achieve health goals