Information Systems

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This article shows how non-supervised artificial intelligence (AI) methods can strongly support common processes in the pharmaceutical industry such as wet granulation drying. The techniques used demonstrate how continuous process optimization can be enabled and the process control strategy is permanently updated while keeping product quality under strong assurance and also increasing energy...

Technical

Artificial intelligence (AI) has the potential to benefit the pharmaceutical industry and its GxP-regulated areas. Several pharmaceutical companies are currently running digital pilots; 90% of large pharmaceutical companies have initiated AI projects.1

  • 1Trinity Life Sciences. “Ninety Percent of Large Pharma Companies Initiated Artificial Intelligence/Machine Learning Projects In...
Features

As adoption of cloud technology continues to increase across the life sciences industry, so too does the need to establish a standardized and pragmatic approach for ensuring the quality of software applications used in support of GxP data and associated processes. This article focuses on the application level and the growing use of software as a service (SaaS) within the life sciences...

PE Magazine
Industry 4.0 applications in biopharma involve the complete spectrum of data science throughout the entire product life cycle of many disparate entity types. Tools such as digitalization, modern data science, and the industrial internet of things are becoming requirements for modern implementations including advanced therapy medicinal products (ATMPs).
Features

Industry 4.0 applications in biopharma involve the complete spectrum of data science throughout the entire product life cycle of many disparate entity types. Tools such as digitalization, modern data science, and the industrial internet of things (IIoT) exist now, and examples from other industries such as Siri and Alexa, face identification, and self-driving cars can guide their...

Features

This second of a two-part series explores digital transformation and digitalization in the biopharmaceutical industry with information about how data science enables digitalization along the product life cycle. (Part 1 was published in the March-April 2021 issue of Pharmaceutical Engineering.1

  • 1Herwig, C., et al. “Data Science for Pharma 4.0™, Drug Development, and Production—Part...
Features

Cloud computing can be described as networked access and utilization of configurable computing resources such as data and information storage, processing capabilities, applications, and other services on computerized systems provided and/or maintained by a remote organization. As life sciences companies consider the advantages and costs of utilizing cloud services, they first need to invest...