Whitepapers


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All Whitepapers

Specialization in ophthalmic manufacturing, demonstrated by investment in equipment, technical project management, quality systems, and regulatory compliance, ensures a safe, effective eyecare drug product. Learn what to look for in a contract manufacturing organization for ophthalmic fill finish, and how Jubilant HollisterStier can validate and scale highly efficient, replicable processes.

A convenient checklist from the experts at Experic to jump-start your planning so supply challenges won’t hinder your progress! Download the checklist today and take advantage of Experic's expert tips to optimize your clinical trial supply planning.

Biotech, BioPharma’s, CDMOs, CROs who are investigating promising nucleic acid-based drug candidates like vaccines, mAbs, and other biologics & biosimilars must go through stringent quality control checks for their molecular entities to ensure safety & efficacy of their drug candidates. Explore the best quality control workflows using QualTrak qPCR ecosystems. Learn more inside this eBook about the benefits of:

In pursuit of increased competitiveness and bottom-line impact, pharmaceutical manufacturers face increasing pressure to fast-track technological innovation while maintaining regulatory compliance. This e-book explores how Artificial Intelligence (AI) can unlock new levels of insights into what is causing variation in processes that can wreak havoc on your drug manufacturing performance. Learn how to use AI so you can improve your manufacturing operations in GxP environments that are capable of delivering real returns on Pharma 4.0 technology initiatives.

This case study shares why a leading biotech company reached out to Aizon to identify how artificial intelligence (AI) could be used to further optimize yield. The team was able to analyze five years of historical batch data to discover a direct correlation between hold up volume and time between process operations as well as generating millions of additional recovered revenue.

The lab of the future is about the whole enterprise. It generates business value by using advanced digital tools and techniques to make contextualized, actionable scientific data available at the bench, in the executive boardroom, and wherever that data can help generate revenue, accelerate innovation, and drive meaningful business decisions. This paper will help you keep up—and even get ahead—in a future that’s rapidly approaching.

The term “digital transformation” attracts a lot of hype. No wonder: the modern gleam of digital and the big-picture promise of that word transformation are irresistible. So much of that hype is based on speculation and inflated claims, though. This paper is your answer. It provides a hype-free account of three transformational projects undertaken in three intensely competitive industries.

The efficiencies and insights of artificial intelligence (AI), machine learning (ML), predictive analytics, and other emerging technologies offer abundant opportunities to laboratories. To help customers leverage digital transformation and prepare for the lab of the future, LabVantage Solutions has devised a five-step process for successfully implementing and profiting from AI in the lab.