Biohub's Alex Rives on virtual cells, measurement tools, and a $1.8B data push

Alex Rives, chief science officer at Biohub, discusses using AI and data science to understand and eventually treat disease, with the institute's stated aim of curing or preventing all diseases. He argues that the main bottleneck for virtual cell models is not model architecture but the lack of high-quality observational data that captures causal relationships inside cells. Biohub has announced an $1.8 billion Virtual Biology initiative with partners including the US Department of Energy, the NIH, Google DeepMind, Isomorphic Labs and Meta, focused on generating large-scale spatial biology data. Rives also highlights new imaging methods such as laser phase plates, which can reveal molecular interactions in near-native cellular conditions. He envisions a near-term information-theoretic model of the cell and a longer-term world model of biology.