Stakeholders across industries are becoming accustomed to using information technology (IT) systems, applications, and business solutions that feature artificial intelligence (AI) and machine learning (ML). Even though some of these uses show phenomenal performance, thorough risk management is required to ensure quality and regulatory compliance are met within the life sciences industry. By...
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...
Artificial intelligence (AI) has become one of the supporting pillars for digitalization in many areas of the business world. The pharmaceutical industry and its GxP-regulated areas also want to use AI in a beneficial way. Several pharmaceutical companies are currently running digital pilots, but only a small fraction follows a systematic approach for the digitalization of their operations
