From research to manufacturing: Overcoming data challenges in the drug development lifecycle
From research to manufacturing – this White Paper from Siemens unlocks a series of useful insights. (Image: Siemens)
Data decisions made at each step of the drug development process – from target identification and discovery right through to final recipes in manufacturing – have an impact on time-to-market. In pharmaceuticals, as in most industries, time is money, so any aspect that can be modified to shorten the time taken at any step will bring about cost efficiencies. At a recent online roundtable event, hosted by Scientific Computing World, representatives from the entire development process exchanged thoughts and ideas on considerations and improvements that could be made to data collection, storage, retrieval and analysis.
