AICYApr 29, 2018

Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing

arXiv:1804.11002v11 citations
Originality Synthesis-oriented
AI Analysis

This work targets the problem of advancing high-performance computing AI and big data technologies for precision medicine, but it is incremental as it reviews existing approaches and future directions without introducing new methods or breakthroughs.

The paper addresses the need to fundamentally revise the traditional paradigm of computer simulation and prediction by leveraging the convergence of medical data and computer technologies in precision medicine, but it does not provide specific results or concrete numbers.

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.

Foundations

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