Digitalisation and adoption of AI-powered instruments have already change into defining developments throughout the pharmaceutical sector. They’re shaping how your complete trade works, from early analysis to large-scale manufacturing and logistics. Firms are more and more turning to good instruments and data-driven options to spice up effectivity, enhance transparency and construct extra resilient methods for the long run.
At the Pharmaceutical Automation and Digitalisation Congress AUTOMA+ 2025 (24-25 November, Vösendorf, Austria), these matters are going to be within the highlight. The Сongress is bringing collectively 290+ professionals and decision-makers from throughout the pharmaceutical worth chain. The contributors are going to share experience and opinions on how digital applied sciences are remodeling the way in which medicines are found, developed and delivered. This text explores a few of the initiatives and important matters to be mentioned through the Congress – with a give attention to lab automation, provide chain optimisation and new approaches in compliance.
Digital-driven R&D
CellVoyant, an AI-first biotech firm on a mission to remedy power ailments, is utilizing reside cell imaging and machine studying to foretell and optimise stem cell differentiation. The group fuses biology and engineering to unlock the way forward for drugs with cell-based therapies.
“In the present day’s strategy to stem cell differentiation is artisanal, sluggish and inefficient. The trade measures the beginning and finish states of tissues throughout experiments, flying blind as to the actual time dynamics of cell biology, which leads to suboptimal tissue manufacturing protocols at finest. With tons of of medical trials ongoing and upcoming, we’d like a greater method”, – is acknowledged on the corporate’s web site.
Elisa Pedone (Senior Analysis Scientist – Stem Cell Operations Lead at CellVoyant) is becoming a member of AUTOMA+ 2025 to introduce FateView – CellVoyant’s generalised platform for stem cell assays. CellVoyant makes use of laptop imaginative and prescient to picture reside cells in tradition – this enables researchers to uncover and information optimum cell destiny, supporting real-time, data-driven choices in drug growth. Their AI-first reside cell imaging know-how predicts and optimises stem cell differentiation, enabling superior cell analytics, course of growth and controllable manufacturing of any cell or tissue within the physique.
Sensible provide chains: Transformation of pharma logistics
Logistics in pharma is present process a shift: the push for local weather neutrality, rising requires transparency and ongoing labour shortages are difficult conventional methods. To deal with these points, Fraunhofer Austria Analysis GmbH has launched its “Shared Logistics Place Paper”.
Fraunhofer Austria Analysis GmbH was based in 2008 and has change into a well-established analysis accomplice for the Austrian trade. The corporate is at present engaged on application-oriented options for the good thing about the economic system and society. Analysis for apply is the central job of Fraunhofer institutes and associates.
The “Shared Logistics Place Paper” outlines six key motion areas. On the coronary heart of the technique is the collaborative, cross-company use of each bodily property and knowledge to make sure sustainable, resilient and future-ready provide chains.
“Our imaginative and prescient is that AI-supported, shared use of information will steer the logistics provide chains of the long run. By means of shut cooperation with firms and analysis companions, we need to make this imaginative and prescient accessible to Austria’s logistics and transport trade,” – remark researchers at Fraunhofer Austria Analysis GmbH.
Martin Riester (Director Centre for Sustainable Manufacturing and Logistics at Fraunhofer Austria Analysis GmbH) is becoming a member of the dialogue on good provide chains at AUTOMA+ 2025 to share the outcomes of the corporate’s work.
In his speak, Martin Riesteris going to current real-life examples of how Synthetic Intelligence and Knowledge Science strategies are getting used to boost efficiency throughout varied levels of provide chains, pharma and others. The speaker goes to discover sensible purposes which have already been carried out, together with upkeep and stock optimisation in addition to clever distribution methods. He’s additionally going to focus on transferable approaches and showcase how data-driven improvements can create extra resilient, environment friendly and responsive provide chains.
Digitalising EBR administration – quick and compliant
How a lot time do pharma firms must adapt to shifting buyer calls for or new manufacturing batches? These processes may take months, and EBR/MES methods usually change into the bottleneck, limiting the flexibility to regulate workflows quick whereas staying compliant.
To deal with this, anic GmbH, a trailblazer in venture administration and software program options, has created anicomply – an online utility with which Digital Batch Document (EBR) recipes might be printed inside minutes in a completely digital course of.
“Even present SOPs or directions might be made digitally out there after inserting just a few markers and importing them to anicomply – inside minutes. This offers unprecedented flexibility for Digital Batch Document methods in validated environments”, – is acknowledged on the corporate’s web site.
anicomply permits customers to create recipes from predefined “blocks”, whereas captured manufacturing knowledge is routinely transformed into digital reviews and batch information. Stay knowledge switch to historians or knowledge lakes allows real-time manufacturing monitoring and high quality optimisation.
One other key function is the mixing of digital signatures (ER), which permit paperwork and processes to be signed digitally – saving time and lowering paper use. By making use of the four-eyes precept, anicomply ensures that each essential choice is reviewed and permitted by not less than two authorised folks, reinforcing course of integrity and minimising the chance of errors.
Denis Nicklas (Founder & Managing Director at anic GmbH) is becoming a member of AUTOMA+ 2025 to inform extra about anic’s initiatives and share how they’re contributing to the pharmaceutical trade’s transformation and serving to to deal with limitations with digital and approaches.
Trying forward: AI-driven future for pharma
Digitalisation has change into a driver of lasting change that firms can now not afford to disregard. What makes this second distinctive is the way in which numerous options – from AI in analysis to smarter logistics and digital compliance – are starting to attach, making a extra built-in and future-ready ecosystem.
AUTOMA+ 2025 goes to be the place to see these concepts come collectively, not solely by way of displays but in addition in conversations between consultants, innovators and decision-makers. It’s a chance to look past particular person instruments and discover how collaboration and digital considering can form the following chapter of pharmaceutical growth.
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