Excited to share our work @Path_AI out in @NatureComms
on building interpretable pipelines for predicting molecular phenotypes from cancer histology images! 🔬🧬
https://t.co/tMv8RdSRHk
Now out in @NatureComms: AI-derived image features for interpretable molecular prediction! 🔬🧬
Proud to have led this work at @Path_AI alongside my amazing classmates @jkuwang and @wanfungchui.
Tweetorial + press release linked below:
https://t.co/7HCGgscOyu
Thrilled to share our work @Path_AI on interpretable molecular predictions from cancer histology slides! 🧬🔬Tweetorial shared below ⬇️ manuscript here: https://t.co/evTB6Keo8m
Check out our recent work @PathAI on building an interpretable pipeline for molecular phenotype prediction from cancer histology images!
Tweetorial shared below 👇
Excited to announce our research study on an interpretable pipeline for predicting molecular phenotypes from cancer pathology images! @amarotaylorw @jamesadiao@jkuwang @wanfungchu
https://t.co/BoOZxLtZgL
Tweetorial to follow ⬇️