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Expanding Role of Data Science and Bioinformatics in Drug Discovery and Development.

Authors :
Fingert HJ
Source :
Clinical pharmacology and therapeutics [Clin Pharmacol Ther] 2018 Jan; Vol. 103 (1), pp. 47-49. Date of Electronic Publication: 2017 Nov 14.
Publication Year :
2018

Abstract

Numerous barriers have been identified which detract from successful applications of clinical trial data and platforms. Despite the challenges, opportunities are growing to advance compliance, quality, and practical applications through top-down establishment of guiding principles, coupled with bottom-up approaches to promote data science competencies among data producers. Recent examples of successful applications include modern treatments for hematologic malignancies, developed with support from public-private partnerships, guiding principles for data-sharing, standards for protocol designs and data management, digital technologies, and quality analytics.<br /> (© 2017 American Society for Clinical Pharmacology and Therapeutics.)

Details

Language :
English
ISSN :
1532-6535
Volume :
103
Issue :
1
Database :
MEDLINE
Journal :
Clinical pharmacology and therapeutics
Publication Type :
Academic Journal
Accession number :
29134636
Full Text :
https://doi.org/10.1002/cpt.912