Pharma 4.0 is high on every strategic agenda. Yet many struggle to turn digital ambitions into measurable results. Projects stall, systems don’t align, and valuable insights remain locked in fragmented data structures.
As discovery accelerates and throughput rises, digital transformation is becoming essential for chemistry labs. AI, robotics, and data growth must be orchestrated to boost productivity—rather than overwhelm the lab.
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New facility will focus on crosslinkers and binders, with the potential to test tens of thousands of formulations per year. Digitalization and automation enable data-driven research and development, while networked robotics allow more efficient data generation for segment-specific application testing.
For the synthesis of compounds in pharmaceutical applications, it is important to select the most appropriate flow chemistry regime and equipment based on the goals of the application.
Ori Biotech a cell and gene therapy (CGT) manufacturing technology producer, recently announced the commercial launch of IRO, a next-generation platform.
Artificial intelligence (AI) can help companies in the process industry capture, retain and access valuable historical expertise and ease the transition for new colleagues in the plant.
“Modular” is currently an often-quoted buzzword in the process industry – in process technology and engineering, automation and supply chain management.
In a joint recent study of 2017 the VDMA Large Industrial Plant Manufacturers' Group and MaexPartners analyzed the potential of Industry 4.0 for large industrial plant manufacturing.
Customer Support - From specific technologies and services to comprehensive solutions: A broad family of brands represents the myriad ways Emerson Pro¬cess Management can support their customers in chemical industries, life sciences, in oil and gas, power, pulp and paper and much more industrial branches.
