We’re diving into TranscriptFormer, a powerful AI model to explore cell biology. Developed by a team at CZI (including James Pearce here), TranscriptFormer is trained on 112 million cells across 12 species. That’s a huge amount of data, so this type of model gives researchers a concise, AI-based interactive representation of its knowledge to more efficiently explore biology. For example, this AI model could help scientists: 🔬 Predict whether findings in model organisms will translate to humans 💻 Run “in silico” (computer-based) experiments to speed up research 🧬 Decode the genetic language of cells 💡 Ultimately, build a virtual cell model to better understand human health 🧬 Visit the blog to learn more (link in the usual place), or drop your questions below 👇 #AIML #AI #biology #genomics #TranscriptFormer #innovation