Rich data sets could end costly drug discovery

Eran Segal

doi:https://doi.org/10.1038/d41586-020-00200-7

Rich data sets could end costly drug discovery

Eran Segal

Department of Computer Science and Applied Mathematics

Weizmann Institute of Science

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

Eran Segal explains why deep phenotyping of study volunteers could transform therapy development.

Original language	English
Pages (from-to)	S19-S19
Number of pages	1
Journal	Nature (London)
Volume	577
Issue number	7792
DOIs	https://doi.org/10.1038/d41586-020-00200-7
State	Published - 29 Jan 2020

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Rich data sets could end costly drug discovery

Abstract

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