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Stack diagram showing the four layers AI drug discovery depends on: a data base layer of genomic, clinical, and experimental data; a pathway layer with cell-type-specific and time-resolved edges; a digital twins and simulation layer with virtual cells and organ-scale models; and AI drug discovery outcomes including target discovery, lead optimization, and in-silico Day Zero success. On the right, a multi-omic foundation model functions as an AlphaFold of pathway state.

AI Drug Discovery·April 18, 2026·4 min read

The Pathway Layer: What AI Drug Discovery Needs to Build Next

AI drug discovery's biggest gap isn't models — it's pathway infrastructure. Six investments biology needs before AI can deliver on its promise.

Diagram comparing the human body to an operating system — biological subsystems (metabolism, transport, pharmacokinetics, toxicity) shown as interconnected modules of a Human OS

AI Drug Discovery·April 12, 2025·1 min read

The Human OS: AI Drug Discovery Needs Systems Biology

AI drug discovery models often miss the bigger picture: the human body is an interconnected operating system. Pairing AI with systems biology is the next leap.