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How artificial intelligence is reshaping pharmaceutical R&D — from protein folding to longitudinal patient data and the dark proteome.
7 posts
Tylenol is one of the most thoroughly mapped drugs in human biology. Watch the safe and toxic pathways branch, saturate, and fail — and see why AI drug discovery needs to see all of it at once.
AI drug discovery isn't waiting on better models — it's waiting on biology to catch up. The 'table of context' for a single molecule, and what it means for timelines.
AI drug discovery's biggest gap isn't models — it's pathway infrastructure. Six investments biology needs before AI can deliver on its promise.
Graphics cards turned game worlds into clarity. The same engine could turn drug discovery into a fluid, real-time visual workflow. The Scientific Visual OS thesis.
Agentic AI and microservices share the same DNA — modular, scalable, autonomous. Why the pairing is the right architecture for AI in pharmaceutical R&D.
Three strategies to bridge AI/ML expertise and scientific domain knowledge in drug discovery — collaboration hubs, shared data platforms, and AI-first experimentation.
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.