The most surprising bit of information I learned from the George Church interview was about multiplexing. I would not expect the idea of merging data together to be helpful to the process of genomic identification, especially when previous efforts required the isolation of very specific elements of genetic material. After hearing his explanation and learning that so much data contributes to the most accurate predictions, it does make sense to use multiplexing as a way to synthesize different streams of data into one conclusion. Another fascinating element of the discussion was Church's explanation of the importance of education, speaking to the necessity of educating people so that their understanding of their health risks is more thorough.
If it were me conducting the interview, I would ask Church how gene editing technology can be related to the latest AI boom - is there a next frontier in simplifying the process of studying such vast amounts of genetic data? Is progress being made on AI solutions? I would ask this question because of the growing relevance of artificial intelligence-integrated platforms in the biotechnology world today.
https://www.labxchange.org/library/pathway/lx-pathway:0b417a9e-6227-44a8-a887-dbfdf44e37e3/items/lx-pb:0b417a9e-6227-44a8-a887-dbfdf44e37e3:lx_simulation:f6d09171?source=%2Flibrary%2Fclusters%2Flx-cluster%3AModernPrediction
I was also thinking about how AI could influence genomics research! I feel like since generative AI is so powerful these days (like with ChatGPT), this could be a huge opportunity to apply these generative methods to the biotech world.