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
Hauptverfasser: Del Sol, Antonio, Thiesen, Hans J., Imitola, Jaime, Carazo Salas, Rafael E.
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.
ISSN:1934-5909
1875-9777
DOI:10.1016/j.stem.2017.01.006