Closing the scientific loop: bridging correlation and causality in the petaflop age

Science Translational Medicine
Gary An

Abstract

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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Citations

Feb 11, 2012·Omics : a Journal of Integrative Biology·Robin Haring, Henri Wallaschofski
Nov 13, 2012·Critical Reviews in Biomedical Engineering·Gary AnYoram Vodovotz
Aug 31, 2013·Computational and Mathematical Organization Theory·Scott Christley, Gary An
Dec 23, 2015·Expert Opinion on Drug Discovery·Thomas Hart, Lei Xie
Jan 8, 2013·The Journal of Surgical Research·Jordan R SternGary An
May 1, 2015·Science Translational Medicine·David BrownYoram Vodovotz
Feb 5, 2011·Current Opinion in Structural Biology·Lei XiePhilip E Bourne
Apr 29, 2014·Journal of Critical Care·Jean-Marie AertsYoram Vodovotz
Jun 26, 2015·PLoS Computational Biology·Cordelia ZiraldoYoram Vodovotz
Jul 19, 2013·Critical Care Medicine·Yoram Vodovotz, Timothy R Billiar
Jul 8, 2016·Annals of Biomedical Engineering·Thomas E YankeelovGuy M Genin
Jul 2, 2019·Wiley Interdisciplinary Reviews. Systems Biology and Medicine·Yoram Vodovotz, Gary An
Dec 24, 2018·BMC Bioinformatics·Jonathan OzikPaul Macklin
Sep 10, 2019·Molecular Systems Design & Engineering·Jonathan OzikPaul Macklin
Mar 20, 2019·Current Opinion in Systems Biology·Judy D DayYoram Vodovotz

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