Artificial Intelligence

Quality is critical in any organization. Within the life sciences industry, where low quality can result in dire consequences for patients, a high level of quality is non-negotiable. Technology advancements like AI-powered electronic quality management systems (eQMS) are making quality more intuitive and enabling a predictive and proactive approach to quality management.  Manual or paper-based...

The use of digital technologies has become the standard within the life sciences industry, and the digitalization of data has facilitated the adoption of artificial intelligence (AI). The pace of this technology adoption has only continued to accelerate.  The U.S. Food and Drug Administration (FDA) has embraced the use of AI in FDA-regulated products, stating:...

In the highly regulated life sciences industry, quality management is crucial for ensuring product safety, regulatory compliance, and operational excellence. Choosing and implementing the right electronic quality management system (eQMS) is a strategic decision that can significantly impact your organization’s success.  This guide provides a step-by-step process to help life sciences professionals navigate the selection...

Generative AI can revolutionize different processes in your business thanks to its many advantages. Once implemented, it can make your business more efficient, productive, and sustainable. Let’s go over some of its advantages:

The digital evolution of life sciences has opened the door to the implementation of advanced technologies. They are already revolutionizing how companies develop, manufacture and deliver products into the hands of clinicians and patients. Today, 45% of life sciences companies’ technology investments are made in three analytics-related technologies – applied AI, industrialized machine learning (ML),...

While leveraging generative AI in BioPharma and MedTech manufacturing in a heavily regulated environment presents its challenges, there are ways manufacturers can minimize risk and maximize compliance.  Here are four critical steps to take when preparing for the use of generative AI within your eQMS to enhance enterprise-wide quality management.  1. Be strategic with structure...