Premium
Expanding Role of Data Science and Bioinformatics in Drug Discovery and Development
Author(s) -
Fingert Howard J.
Publication year - 2018
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1002/cpt.912
Subject(s) - data sharing , data science , analytics , data management , quality (philosophy) , data quality , protocol (science) , computer science , drug development , big data , clinical trial , drug discovery , knowledge management , medicine , bioinformatics , business , drug , pharmacology , data mining , alternative medicine , biology , metric (unit) , philosophy , marketing , epistemology , pathology
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.