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Anthropic scientist Laura Luebbert argues that biological data systems must be redesigned to work more effectively with AI agents, enabling better automation in scientific research. The shift would allow autonomous AI systems to access, process, and analyze biological data more seamlessly.
Why it matters: As AI agents become more capable, infrastructure improvements could accelerate drug discovery, genomics research, and computational biology—making this a strategic priority for companies developing AI-driven biotech solutions.
