Knowledge must be computable
Biomedical knowledge should be represented in forms that people and machines can use — not locked away in disconnected publications, documents, records, and systems.
The next era of medicine will depend not only on better data or powerful AI, but on whether biomedical knowledge can be made computable, connected, continuously improving, and worthy of trust for the greatest impacts to all.
Biomedical knowledge should be represented in forms that people and machines can use — not locked away in disconnected publications, documents, records, and systems.
Discovery, care, public health, and education should not operate as separate knowledge worlds. The future requires infrastructure that links evidence, data, models, workflows, and decisions.
Knowledge that is computable, connected, and trustworthy matters only insofar as it improves lives. Biomedical knowledge and AI must translate into better care, faster discovery, and stronger health — delivering measurable benefit broadly and equitably, for individuals and populations alike.
AI will only be as trustworthy as the data, evidence, assumptions, and governance on which it depends.
Care delivery should generate evidence, evidence should improve care, and the cycle should become routine.