greenelab/deep-review

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Header levels should only increment by one level at a time
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### Statement of Purpose
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### Section 5 – Disclaimer of Warranties and Limitation of Liability.
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4. _arXiv_ ID, cite like `@arxiv:1508.06576v2`.
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### Will deep learning transform the study of human disease?
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<sup>†</sup> --- To whom correspondence should be addressed: gitter@biostat.wisc.edu (A.G.) and greenescientist@gmail.com (C.S.G.)
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Daniel S. Himmelstein<sup>1.2</sup>,
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Gregory P. Way<sup>1.2</sup>,
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<small>
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## Conclusions
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Bare URL used
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With this review, we ask the question: what is needed for deep learning to transform how we categorize, study, and treat individuals to maintain or restore health? We choose a high bar for "transform." Andrew Grove, the former CEO of Intel, coined the term Strategic Inflection Point to refer to a change in technologies or environment that requires a business to be fundamentally reshaped [@url:http://www.intel.com/pressroom/archive/speeches/ag080998.htm].
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1.2. Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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1.12. Department of Computer Science, University of Toronto, Toronto, ON, Canada
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1.4. Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI
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3. PubMed ID, cite like `@pubmed:26158728`.
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### Section 8 – Interpretation.
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<sup>âš„</sup> --- Author order for version 2.0 is currently randomized [with each new build](https://github.com/greenelab/deep-review/pull/997).<br>
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1.24. Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA
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1. If You Share the Licensed Material (including in modified form), You must:
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Alexandr A. Kalinin<sup>1.4</sup>,
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