From Scientific Discovery to Cures: Bright Stars within a Galaxy

We propose that data mining and network analysis utilizing public databases can identify and quantify relationships between scientific discoveries and major advances in medicine (cures). Further development of such approaches could help to increase public understanding and governmental support for l...

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Published inCell Vol. 163; no. 1; pp. 21 - 23
Main Authors Williams, R. Sanders, Lotia, Samad, Holloway, Alisha K., Pico, Alexander R.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 24.09.2015
Subjects
Animals
Biological Science Disciplines - economics
Biomedical Research - economics
Clinical Trials as Topic
Data Mining
Decision Making
Drug Discovery
Humans
National Institutes of Health (U.S.) - economics
United States
United States Food and Drug Administration - economics
United States
Online AccessGet full text

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Abstract We propose that data mining and network analysis utilizing public databases can identify and quantify relationships between scientific discoveries and major advances in medicine (cures). Further development of such approaches could help to increase public understanding and governmental support for life science research and could enhance decision making in the quest for cures. We propose that data mining and network analysis utilizing public databases can identify and quantify relationships between scientific discoveries and major advances in medicine (cures). Further development of such approaches could help to increase public understanding and governmental support for life science research and could enhance decision making in the quest for cures.
AbstractList We propose that data mining and network analysis utilizing public databases can identify and quantify relationships between scientific discoveries and major advances in medicine (cures). Further development of such approaches could help to increase public understanding and governmental support for life science research and could enhance decision making in the quest for cures.
We propose that data mining and network analysis utilizing public databases can identify and quantify relationships between scientific discoveries and major advances in medicine (cures). Further development of such approaches could help to increase public understanding and governmental support for life science research and could enhance decision making in the quest for cures. We propose that data mining and network analysis utilizing public databases can identify and quantify relationships between scientific discoveries and major advances in medicine (cures). Further development of such approaches could help to increase public understanding and governmental support for life science research and could enhance decision making in the quest for cures.
Author Lotia, Samad
Williams, R. Sanders
Pico, Alexander R.
Holloway, Alisha K.
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Cites_doi 10.1016/j.cell.2015.03.030
10.1038/srep00151
10.1016/j.ipm.2005.05.008
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SubjectTerms Animals
Biological Science Disciplines - economics
Biomedical Research - economics
Clinical Trials as Topic
Data Mining
Decision Making
Drug Discovery
Humans
National Institutes of Health (U.S.) - economics
United States
United States Food and Drug Administration - economics
Title From Scientific Discovery to Cures: Bright Stars within a Galaxy
URI https://dx.doi.org/10.1016/j.cell.2015.09.007
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