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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Electronic health records: Implications for drug discovery
Lixia Yao1, Yiye Zhang, Yong Li
1Computational Biology, GlaxoSmithKline R&D, King of Prussia, PA 19406, USA.
Electronic health records (EHRs) advance drug discovery by revealing new disease links, drug uses, and genetic associations. These systems are poised to revolutionize medicine development.
Area of Science:
- Health Informatics
- Pharmacology
- Genomics
Background:
- Electronic health records (EHRs) are increasingly adopted globally.
- Legal mandates have driven EHR progress, including data standards and sharing infrastructure.
Purpose of the Study:
- To review the applications of EHRs in drug discovery.
- To highlight how EHR data can accelerate the development of new medicines.
Main Methods:
- Review of EHR data applications in three key areas:
- Identification of novel disease relationships.
- Re-evaluation of existing drug usage.
- Discovery of phenotype-genotype associations.
Main Results:
- EHRs facilitate the identification of previously unknown disease connections.
- Analysis of EHR data can lead to new therapeutic indications for existing drugs.
- EHRs enable the discovery of genotype-phenotype correlations relevant to drug response.
Conclusions:
- EHR systems offer significant potential to enhance drug discovery processes.
- Future advancements in EHRs and databases will likely transform pharmaceutical research and development.
- EHR-driven insights can lead to safer and more effective medicines.
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