Artificial Intelligence Expected to Improve Pharma R&D

GlobalData survey finds that nearly half of pharma professionals expect R&D to benefit the most from digital technologies.

A recent survey of pharmaceutical professionals conducted by GlobalData reveals that nearly half of respondents expect digital technologies to benefit R&D efforts more than other activities. Artificial intelligence (AI) and big data are expected to have the biggest impact with respect to improving the productivity and effectiveness of R&D.

While there has not yet been a drug to reach the market that was identified using AI, the technology is being applied in the fields of diagnostics and radiotherapy, and significant investments are being made in the development of AI solutions for drug discovery and development. One challenge identified by the survey was the need for coordination within organizations with respect to identifying targets for digital transformation.


David Alvaro, Ph.D.

David is Scientific Editor in Chief of the Pharma’s Almanac content enterprise, responsible for directing and generating industry, scientific and research-based content, including client-owned strategic content, in addition to serving as Scientific Research Director for That's Nice. Before joining That’s Nice, David served as a scientific editor for the multidisciplinary scientific journal Annals of the New York Academy of Sciences. He received a B.A. in Biology from New York University in 1999 and a Ph.D. in Genetics and Development from Columbia University in 2008.