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By harnessing the vast amounts of data generated throughout the development pipeline, pharmaceutical companies can accelerate the discovery of novel therapies, optimize clinical trial design, enhance drug safety monitoring, and deliver personalized medicine, ultimately improving patient outcomes and transforming the future of healthcare.
Training AI/ML tools to predict results of otherwise complex and time-consuming calculations is gaining traction in pharmaceutical R&D. To really benefit from AI, the pharmaceutical industry must be more open to data sharing. Matthew subsequently put his computationalchemistry skills to use in the defence sector.
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