Modern data management and analytics have completely transformed the global pharmaceutical industry. It’s a field that’s been ruled by data from day one, and new ways of managing and extracting value from clinical data are helping both major incumbent players and agile new competitors achieve amazing things.
Where big data and analytics laid the foundations for a smarter, faster, and better-informed pharmaceutical industry, AI and Machine Learning are now taking things to the next level – going beyond offering simple insights by providing truly proactive optimizations for numerous pharmaceutical processes.
In a data-rich field like pharmaceutical research and development, the potential applications of AI are almost limitless.
Nevertheless, AI holds a lot of promise. Here are some of the expectations on what AI can do for diagnosis, drug development, and treatment in the future:
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