Global non-profit organisation The Pistoia Alliance is urging the life sciences industry to join its efforts in creating the ‘lab of the future’ (LoTF) through greater collaboration.
At the alliance’s annual EU member conference held in London, companies such as Merck, GlaxoSmithKline and SAP discussed how artificial intelligence (AI) and real-world data will contribute to the development of the lab.
The conference, which involved 165 participants from ten pharma companies, biotechs and tech firms, was intended to pinpoint potential partnerships aimed at improving research and patient outcomes.
The Pistoia Alliance president Dr Steve Arlington said: “If pharmaceutical companies want to support R&D outcomes that truly benefit patients, then building the ‘lab of the future’ is paramount.
“They must now seek ways to amplify their budgets through greater collaboration, cooperation, and data sharing, and by exploring future technologies that will change the lives of patients.”
The conference included a briefing on the existing pharmaceutical research and development (R&D) models and the commercial challenges faced by the industry.
How well do you really know your competitors?
Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.
Thank you!
Your download email will arrive shortly
Not ready to buy yet? Download a free sample
We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form
By GlobalDataThe conference also showcased the Pistoia Alliance’s President’s Series Hackathon held on 12-13 March.
The hackathon entailed a series of challenges, focused on AI insight, the ‘future corner’, and health and safety for the LoTF.
Participants had to build prototypes that use AI to comprehend instrument logs in order to analyse the effect of new tools on the lab and determine new uses for datasets and related lab data.