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 ...

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, ...

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 predictive modeling process incorporated more than 170 potential predictors including pharmacy claims data, demographic information, Centers for Medicare & Medicaid (CMS) data, and unique ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business.

Researchers at the University of Illinois Urbana-Champaign have developed a novel framework for understanding and controlling ...

Takeaway Points Communicating effectively about predictive models and their equity implications is critical for (1) informed decision-making and (2) preventing potential harms to patients. In this ...

The predictive scoring from the added criteria in this new public database provides a high correlation to the existing policies for the prioritization of properties to be inspected.

Carolina Patiño, Product Manager, Kin Analytics Traditional underwriting is slow, subjective, and full of paper—but it ...