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 ...

A calibrated model assures the model reflects actual process behavior and can display realistic 3D visualizations of complex process flows. The semiconductor industry has always faced challenges ...

Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

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. Image: ...

Within this talk the advantages of using intensified Design of experiments (iDoE) in combination with hybrid modeling will be demonstrated. In detailed upstream and downstream showcases the applied ...

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 ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

It’s a brave new analytics world and combining the right team players with the right data types can yield highly accurate models that quantify the complex relationships between marketing activities, ...

Q: How does the Marine Corps use predictive analysis and modeling to identify affordable technical alternatives throughout a program's life cycle? A: The Marine Corps is using a model-based systems ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

The semiconductor industry has always faced challenges caused by device scaling, architecture evolution, and process complexity and integration. These challenges are coupled with a need to provide new ...