Digitalization and AI in pharmaceutical R&D

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CMAC’s Digital Medicines Manufacturing research center (DM2) is a 3.5-year program co-funded by the Made Smarter Innovation at UK Research and Innovation. DM2 has ambitions to transform medicines development and manufacturing productivity, and drive a more patient-centric supply model, through digitalization.

As a developer of laboratory technology, we at Malvern Panalytical see the value of digital transformation in materials science. Much of the data that is generated from our instrumentation does not end its journey in the lab. Rather, it is combined and harmonized with data from diverse sources to solve ever more complex challenges. For this reason, we join Prof. Blair Johnston in the DM2 center to learn and contribute to the integration of data pipelines and data science to improve medicines development.

In this webinar, we will discuss the benefits to be gained from digitalization and the adoption of industrial digital technologies from a pharmaceutical perspective. We will also provide insights into the challenges of “going digital” and provide some examples of useful solutions and how we are implementing them across the DM2 Centre. These include technologies such as AI, digital twins, knowledge engineering as well as some practical solutions for bringing all staff within an organization along on the digital transformation journey, such as AI, digital twins, knowledge engineering as well as some practical solutions for bringing all staff within an organization along on the digital transformation journey.

演讲嘉宾

  • Blair Johnston - Professor of computational modelling in Pharmacy and Biomedical Sciences, University of Strathclyde
  • Robert Taylor - Segment Marketing Manager, Malvern Panalytical

更多信息

Who should attend? 

  • Scientists and researchers interested in applied data science and getting more from analytical equipment
  • Anyone interested in or developing data or data systems for pharmaceutical R&D
  • Anyone interested in digitalization within organizations and the challenges involved

What will you learn? 

  • Learn how we set about capturing data from across our research laboratories and equipment
  • Discover how we maximize value from these data
  • Understand some of the main challenges faced in the adoption of digital technologies within pharmaceutical R&D