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- W4205743430 abstract "Big data is revolutionizing pharmaceutical and clinical pharmacy research. With the availability of big data, including omics and clinical data, pharmaceutical scientists and pharmacists have the potential to advance basic and clinical science discovery if they acquire essential big data analytical techniques. The gap between the current state of pharmaceutical sciences and pharmacy education and core big data analytical techniques in research underscores the need to establish innovative training models for big data analysis and visualization." @default.
- W4205743430 created "2022-01-25" @default.
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- W4205743430 date "2020-08-26" @default.
- W4205743430 modified "2023-09-24" @default.
- W4205743430 title "Integrating big data analytical techniques in pharmacy education" @default.
- W4205743430 doi "https://doi.org/10.31219/osf.io/3gdy4" @default.
- W4205743430 hasPublicationYear "2020" @default.
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