Most biology AI models learn only one layer, and the big bet hinges on mapping
anshulkundaje · x · 2026-11-12
ryanayork started an 11-post thread examining the current investment boom in predictive biology models. He argues most of them learn from a single layer of the biological hierarchy — usually RNA — and assume what they find there carries over to other layers. Whether this large bet pays off, he says, depends on getting that cross-layer mapping right. The thread was amplified by Stanford professor Anshul Kundaje, signaling academic attention to this modeling debate.
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