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Researchers at the University of Michigan have created a dataset of more than 50,000 experiments focused on carbon–nitrogen bond formation, a key step in producing many medicines. The collection offers high‑quality reaction data that AI systems can use to identify more efficient chemical pathways and uncover promising drug candidates. Early use has already surfaced new patterns that could accelerate the development of safer, more affordable therapies.
