Journal
SCIENCE TRANSLATIONAL MEDICINE
Volume 2, Issue 41, Pages -Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/scitranslmed.3000390
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Funding
- NSF [0830-370-V601]
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [0829864, 1138292] Funding Source: National Science Foundation
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Advances in computing capability offer the biomedical research community the prospect of creating simulations at a previously unimaginable scale. A diagnostic analysis of the underpinnings of the translational dilemma suggests that the current high-throughput, data-rich research environment has led to an imbalance in the relationship between determinations of correlation and the evaluation of causality. Here I describe the use of high-performance computing technologies to facilitate high-throughput hypothesis evaluation combined with an evolutionary paradigm for the advancement of scientific knowledge. This combination provides a roadmap for closing the scientific loop between correlation and causality, a necessary step if translational endeavors are to succeed.
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