Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing

TL;DR

This paper discusses how precision medicine is driving the development of next-generation cognitive supercomputing by integrating medical data with advanced AI and big data technologies, requiring a fundamental shift in simulation paradigms.

Contribution

It highlights the convergence of medical data and computing technologies and advocates for a paradigm shift in simulation and prediction methods driven by precision medicine.

Findings

Integration of medical data accelerates AI and supercomputing development

Traditional simulation paradigms need fundamental revision

Partnerships in precision medicine foster technological convergence

Abstract

In the past several years, we have taken advantage of a number of opportunities to advance the intersection of next generation high-performance computing AI and big data technologies through partnerships in precision medicine. Today we are in the throes of piecing together what is likely the most unique convergence of medical data and computer technologies. But more deeply, we observe that the traditional paradigm of computer simulation and prediction needs fundamental revision. This is the time for a number of reasons. We will review what the drivers are, why now, how this has been approached over the past several years, and where we are heading.