Big-Data-Driven Stem Cell Science and Tissue Engineering: Vision and Unique Opportunities
Achieving the promises of stem cell science to generate precise disease models and designer cell samples for personalized therapeutics will require harnessing pheno-genotypic cell-level data quantitatively and predictively in the lab and clinic. Those requirements could be met by developing a Big-Da...
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Veröffentlicht in: | Cell stem cell 2017-02, Vol.20 (2), p.157-160 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Achieving the promises of stem cell science to generate precise disease models and designer cell samples for personalized therapeutics will require harnessing pheno-genotypic cell-level data quantitatively and predictively in the lab and clinic. Those requirements could be met by developing a Big-Data-driven stem cell science strategy and community.
Achieving the promises of stem cell science to generate precise disease models and designer cell samples for personalized therapeutics will require harnessing pheno-genotypic cell-level data quantitatively and predictively in the lab and clinic. Those requirements could be met by developing a Big-Data-driven stem cell science strategy and community. |
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ISSN: | 1934-5909 1875-9777 |
DOI: | 10.1016/j.stem.2017.01.006 |