Big-Data-Driven Stem Cell Science and Tissue Engineering: Vision and Unique Opportunities

Antonio Del Sol, Hans J Thiesen, Jaime Imitola, Rafael E Carazo Salas

Research output: Contribution to journalArticle (Academic Journal)peer-review

24 Citations (Scopus)
368 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)157-160
Number of pages4
JournalCell Stem Cell
Volume20
Issue number2
DOIs
Publication statusPublished - 2 Feb 2017

Research Groups and Themes

  • Jean Golding

Keywords

  • Animals
  • Computational Biology
  • Humans
  • Phenotype
  • Science
  • Statistics as Topic
  • Stem Cells
  • Tissue Engineering
  • Journal Article

Fingerprint

Dive into the research topics of 'Big-Data-Driven Stem Cell Science and Tissue Engineering: Vision and Unique Opportunities'. Together they form a unique fingerprint.

Cite this