Cancer Prediction is the Pathway to Prevention

Examining the benefits of using a systems-based approach to predict and control the evolution of cancer through preventative pathways Oncology research exposes cancer as a dynamic disease that results from complex interactions between multiple scales of genetic, environmental and constitutional characteristics that are unique to an individual. Currently, the full scope of determinants that cause […]

Covid-19: Worldwide Viral Infection Model

Examining the benefits of using Universal Dynamic Engine (UDE) to manage Covid-19 patient risk and critical treatment load. When news broke of an obscure respiratory disease emerging from the Wuhan market in early January, few imagined that in just over 2 months the world would be facing the worst pandemic since Spanish flu in 1918. With […]

Advancing Economic Forecasting and Risk Analysis Models to Meet Demands of the 4IR

Managing dynamic complexity will pave the way for a more prosperous and efficient economy that operates with less risk and better predictability. Economic systems that operate through a constantly expanding number of dynamic interactions have become too complex to fully represent using popular econometrics and economic modeling methods. When multiple functions of economy are connected […]

6 Essential Tips for Managing Supply Chain Performance in the On Demand Economy

Is your supply chain delivering what your customers want, when they want it, while costing your organization as little as possible to accomplish that goal? If your answer isn’t a resounding yes, then you are probably missing opportunities to improve your supply chain and deliver significant value to your organization. The on-demand economy is all […]

Taking a Computer-Aided Engineering Approach to Business Transformation

Taking a computer-aided engineering (CAE) approach to business transformation can help businesses manage program risks, maximize value, decrease costs and accelerate innovation.