Abstract
Pharmaceutical R&D, generally viewed as a grand stage for advanced technologies, is living up to its reputation these days. It’s got new machines for genomic analysis, technology for precisely editing genes, and all the software necessary to manage the data these things produce. Cloud computing and modeling engines enhanced by machine-learning algorithms have already caught on in pharmaceutical labs such that researchers and their information technology system suppliers say the sector is closing in on a vision of the lab of the future—one based on digital connectivity and focused on bringing breakthrough drugs into the world. Manufacturing drugs and getting them to patients, however, involves a completely different landscape of technology, somewhat less flashy but arguably more important given the dire need to avoid something that happens every day in research: failure. “When people go to a pharmacy, they expect the drug to be at the pharmacy,” says John Baldoni,
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