Harnessing the heart of big data.

@article{Scruggs2015HarnessingTH,
  title={Harnessing the heart of big data.},
  author={Sarah B. Scruggs and K. Watson and Andrew I. Su and Henning Hermjakob and John R. Yates and Merry L. Lindsey and Peipei Ping},
  journal={Circulation research},
  year={2015},
  volume={116 7},
  pages={
          1115-9
        }
}
The exponential increase in Big Data generation combined with limited capitalization on the wealth of information embedded within Big Data has prompted us to revisit our scientific discovery paradigms. A successful transition into this digital era of medicine holds great promise for advancing fundamental knowledge in biology, innovating human health, and driving personalized medicine; however, this will require a drastic shift of research culture in how we conceptualize science and use data. An… 

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References

SHOWING 1-10 OF 13 REFERENCES

Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.

  • H. Krumholz
  • Medicine, Political Science
    Health affairs
  • 2014
The ways in which big data can be harnessed to advance prediction, performance, discovery, and comparative effectiveness research to address the complexity of patients, populations, and organizations are explored.

Integration of Cardiac Proteome Biology and Medicine by a Specialized Knowledgebase

A consolidated cardiac proteome knowledgebase with novel bioinformatics pipeline and Web portals, thereby serving as a new resource to advance cardiovascular biology and medicine and providing an innovative and interactive resource that connects research interests with the new biological discoveries in protein sciences.

Reengineering Translational Science: The Time Is Right

  • F. Collins
  • Medicine
    Science Translational Medicine
  • 2011
The new National Center for Advancing Translational Sciences aims to revamp the process of biomedical research translation to catalyze the generation of innovative methods and technologies that will enhance the development, testing, and implementation of diagnostics and therapeutics across a wide range of diseases and conditions.

Microtask Crowdsourcing for Disease Mention Annotation in PubMed Abstracts

The use of the AMT in capturing disease mentions in PubMed abstracts is investigated, using the NCBI Disease corpus as a gold standard for refining and benchmarking the crowdsourcing protocol, and the quality of the annotations, as judged with the F measure, increases with the number of workers assigned to each task.

Clues from the resilient

There are, indeed, individuals whose genetics indicate exceptionally high risk of disease, yet they never show any signs of the disorder; this view underlies “The Resilience Project”, an effort to search broadly for these apparently healthy people.

Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

The first large-scale application of the phenome-wide association study (PheWAS) paradigm within electronic medical records (EMRs) is reported, an unbiased approach to replication and discovery that interrogates relationships between targeted genotypes and multiple phenotypes in EMR-based cohorts.

Finding novel pharmaceuticals in the systems biology era using multiple effective drug targets, phenotypic screening and knowledge of transporters: where drug discovery went wrong and how to fix it

Success in turning round drug discovery requires decent systems biology models of human biochemical networks and a return to ‘function‐first’ or phenotypic screening, which should both lower attrition rates and raise the rates of discovery of effective drugs substantially.

Reactome: a database of reactions, pathways and biological processes

A new web site with improved tools for pathway browsing and data analysis is developed, and orthology-based inferences of pathways in non-human species are made, applying Ensembl Compara to identify orthologs of curated human proteins in each of 20 other species.

Personalized medicine: risk prediction, targeted therapies and mobile health technology

In this forum article, specialists in oncology, neurology, endocrinology and mobile health technology are asked to discuss where the authors are in terms of personalized medicine, and address their visions for the future and the challenges that remain in their respective fields.

Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fraction

Background— Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous clinical syndrome in need of improved phenotypic classification. We sought to evaluate whether unbiased