Successful companies in chemical, biotech, life-sciences process industries apply statistical methods to accelerate innovation and reduce production cost. Explore this series of industry led papers and events to learn how to discover insights in your data, reduce time to market, uncover and solve blind spots in processes.

Featured Resources


Chemistry World On-Demand Webinar

Fujifilm Diosynth Biotechnologies: Scaling up processes with Design of Experiments

In this webinar by Chemistry World, we will show how Fujifilm Diosynth Biotechnologies uses the DoE and Analyse platforms in JMP to demonstrate how small scale models can be used to predict large scale results.



Ebook

The Art of Statistics - How to learn from data

In The Art of Statistics David Spiegelhalter shows us how to extract knowledge from raw data, think critically (like a statistician) and explains why a basic grasp of statistical literacy is more important than ever if we hope to separate fact from fiction. Read a free chapte. 



Customer Story

Synthace accelerates R&D by lowering barriers to automated experiments

Synthace’s cloud-based platform Antha® enables automation of design of experiments (DOE) to optimize complex biological processes and assays. 



White Paper

Big Data, Pharma 4.0 and Process Modeling

A lot has been written about Industry 4.0, including that it will create a “smart factory” and make systems more flexible to enable mass customization of manufactured products



CHEManager On Demand Webinar

Accelerating Drug Commercialization - Julia O'Neill

The pandemic taught us that new therapies and vaccines can be developed in a shorter time frame than ever before. Julia O'Neill talk about how pharma companies can bridge statistics and science to develop reliable products fast and cost effective.  . Strategic application of statistical modeling to stability data is on the critical path for commercialization of these urgently needed new therapies.



Article

CHEManager: How to bridge statistics and chemical engineering

Julia O'Neill describes how  statistical analysis can be a vital tool for accelerating the discovery and creation of viable new products, and for engineering the processes through which they can be delivered at scale. This marriage is the way to get things “right first time”, reducing development risks and relieving the pressures of the modern market. 


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