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This paper explores the convergence of physical experimentation with software and AI applications to accelerate DMTA cycles in pharmaceutical R&D.
Covering both discovery and CMC development, the paper discusses how automation and digitalization with scientific informatics tools can minimize or eliminate manual data transfer for robust experiment cycles with greater data integrity and higher productivity.