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Expanding Role of Data Science and Bioinformatics in Drug Discovery and Development.
- 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.)
- Subjects :
- Communication Barriers
Data Accuracy
Humans
Information Dissemination methods
Quality Improvement
Biomedical Research methods
Computational Biology methods
Drug Discovery methods
Drug Discovery organization & administration
Drug Discovery standards
Information Services organization & administration
Information Services standards
Medical Informatics methods
Subjects
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