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Automated Hypothesis Generation in R&D: Large Language Models as Co-Pilots for Pharma Scientists
In research and development, there’s one problem that has quietly grown over the past decade, the explosion of information. Every year, researchers publish thousands of new papers across genomics, pharmacology, clinical trials, and disease biology. At the same time, internal company data, from lab results to omics analyses and trial reports, grows even faster. For
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