Nature Podcast

AI identifies gene interactions to speed up search for treatment targets

May 31, 2023
Ask episode
AI Snips
Chapters
Transcript
Episode notes
INSIGHT

AI Predicts Gene Interactions

  • Geneformer uses AI trained on massive cell transcriptomes to predict gene interactions.
  • It identifies key genes influencing cell states, potentially revealing therapeutic targets.
INSIGHT

Transfer Learning for Rare Diseases

  • Transfer learning lets Geneformer apply knowledge from general data to rare diseases.
  • It predicted candidate genes to revert diseased cells toward health in cardiomyopathy despite limited disease-specific data.
ANECDOTE

Lab Validates AI Predictions

  • Lab tests confirmed Geneformer's predictions improved contracting ability of heart muscle cells.
  • Additionally, the AI uncovered a previously unknown gene critical for cardiomyocyte contraction.
Get the Snipd Podcast app to discover more snips from this episode
Get the app