Predictive modeling could revolutionize drug manufacturing by helping biopharma organizations achieve right-first-time scale-up,” says Tim Gardner, PhD, Founder and CEO of Riffyn. Biopharmaceutical ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

ST. PAUL, Minn., Oct. 23, 2018 /PRNewswire/ -- To help combat misuse and abuse of prescription opioids, pharmacy benefit manager Prime Therapeutics LLC (Prime) recently developed a new predictive ...

After gathering and preparing current and historical data, the crucial next step in predictive analysis is to start the modeling process. This involves data science experts or analysts creating ...

The rapid adoption of digital products and services has created vaster volumes of data than we’ve ever seen before. As a result, an increasing number of organizations are using big data analytics and ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

Pecan’s new free trial opens the fast predictive modeling platform so all data analysts can use AI and SQL to solve business problems.

LONDON--(BUSINESS WIRE)--Predictive maintenance is undoubtedly one of the most talked-about topics in maintenance and asset management. To gauge where manufacturing companies currently stand with ...