Why the Decline in Pharma R&D?
4 years ago
By Josh Neil
For a few decades now there has been a narrative in the pharmaceutical sector that R&D productivity has been steadily declining: thanks to a lack of low-hanging fruit, blockbuster drugs have been harder and harder to find. AI promises a possible solution for this decline: but is the reduction in productivity a real challenge in the industry? Is AI the only means of solving it? To what extent will AI really boost the finding of drugs in a crowded market?
To clarify the area for professionals who need to know, Proventa International created a White Paper on AI in R&D, looking at the innovations and trends shaping 2020, expert opinion on AI’s impact on R&D, and whether AI can reverse the steady decline in pharma R&D output. Below is just a sample of the full White Paper: to read the larger report, click here.
If you are unable to see the PDF below, please click here.
For more information on future events, including the upcoming Clinical Operations, CTSC and Pharmacovigilance meetings in November 2020, click here.
Joshua Neil, Editor
Proventa International
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