Pharma R&D Today
Ideas and Insight supporting all stages of Drug Discovery & Development
Global Dominance in AI? China’s Got a Plan For That
Posted on July 9th, 2019 by Xuanyan Xu in Pharma R&D
Artificial intelligence is more than just a ‘hot topic’ in the pharmaceutical industry—it is actually influencing the way that major industry players and even entire nations are thinking about the future. As more AI-focused companies are launching, and as investment in AI technology is increasing in the US and EU, China is speeding up its efforts to ensure that it can be competitive in this burgeoning area.
In 2017, China released an “AI Strategic Plan” that outlined the ambitious goal of making the country the undisputed world leader in AI by 2030. Given China’s penchant for long-term planning and its proven ability to make significant strides quickly, it’s best that competitors take these intentions seriously. Already, Chinese investment in US-based biotechnology and drug companies hit $1.4 billion this year, a huge leap from the previous year.
Meanwhile some of China’s own multinational IT corporations like Tencent and Alibaba are making investments and acquisitions in health and pharma AI. Tencent has invested in AI-driven start-ups iCarbonX and XtalPi, while Alibaba has developed a platform dubbed “ET Medical Brain,” designed to create new medical applications for AI.
“China’s ability to generate massive amounts of real-time medical data from more than 1 billion people in the local population, stimulated by rather flexible privacy laws is driving advancement,” writes Margaretta Colangelo of Deep Knowledge Ventures. Though she says that government programs are also helping to grow local AI and data science talent, Colangelo also warns that China is currently lagging behind its competitors in pharma and biotech innovation, which could limit its progress.
Will China ultimately dominate in AI—and on the rapid timeline that it hopes? That remains to be seen. Here on this blog we will continue to monitor the progress of both China and AI in general as this technology continues to transform pharma R&D.
R&D Solutions for Pharma & Life SciencesWe're happy to discuss your needs and show you how Elsevier's Solution can help.
Sr. Marketing Manager, Life Sciences Audience at Elsevier
- Pharma Industry Conferences Have Gone Online – Will They Stay There?
- Bringing Scalability Into Chemistry Modeling
- Extracting Relevant Chemical Information from Patents with Machine Learning
- To Be a Digital Pharma Player, You Need Data – Reusable Data
- Treating Pharma Data as an Asset: moving from an application centric to an information-centric organization – presented by Dr. Martin Romacker, Roche