EDITORIAL DESKSince our last edition of Innovations in Pharmaceutical Technology (IPT) in Autumn/Winter 2021, a lot has changed. As COVID-19’s impact on worldwide economies and hospitals wanes, Russia’s invasion of Ukraine has cast a darker shadow across the world.IPT magazine is returning as a quarterly magazine, hitting your inboxes in spring, summer, autumn, and winter. The COVID-19 pandemic has had its impact on us as well as the pharma industry, and new working environments and the forcing hand of technology have enabled us to four issues a year in a universe slightly altered.

Our Spring edition is packed full of some of the most exciting, and necessary, developments in data science and manufacturing. Whether it’s the smart automation of manufacturing equipment in huge premises, or the digitalisation of clinical trial operators, this issue of IPT uncovers the changes we’re seeing across the industry.

It’s our job to cut through the geopolitical gloom and discover insights that our readers want. This edition of IPT dives into two key areas of innovation: digital and manufacturing. From how laboratories are continuing to reinvent their processes (from page 10) to how data science is affecting the way pharma companies operate (from page 30) this issue touches across these broad topics.

We’re busy working on our next edition, which will be with you in June with focus topics on Chromatography, Extended Reality, Bioinformatics, Additive Manufacturing, and Robotic Systems.

If you’re interested in contributing, please get in touch with me: will@samedanltd.com
Will Brown
Editorial Manager
George Grant
Editorial and Production Assistant georgegrant@samedanltd.com

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The Importance of Temperature Control in Pharmaceutical Analysis

As technology within the analysis sphere continues to evolve, temperature control is becoming increasingly important for drug discovery and research


Providing Support Throughout the Patient Journey

Concierge services are critical to helping patients navigate technology and other logistics in a decentralised clinical trial. How best can they be implemented?