TY  - JOUR
T1  - Examining the Uses and Priorities of Big Data in Pharmaceuticals
A1  - Kasuni Weerasinghe
A1  - Shane L. Scahill
A1  - David J. Pauleen
A1  - Nazim Taskin
JF  - Bulletin of Pioneering Researches of Medical and Clinical Science
JO  - Bull Pioneer Res Med Clin Sci
SN  - 3006-2659
Y1  - 2023
VL  - 2
IS  - 2
DO  - 10.51847/5S8fLd1m1N
SP  - 27
EP  - 32
N2  - A huge amount of data is generated annually in the field of medical care and drug diagnosis. With the continuous growth of data storage tools and the smart devices availability in the world, the big data influence will continue to develop. This efficacy has also been transferred to the field of medicine. The current study was conducted to identify the big data applications in the pharmaceutical field. The present study was done in two stages with a combined approach. In the first step, big data applications were determined and extracted by library examination and content analysis methods. In the second stage, the extracted applications were ranked using the expert committee consisting of experts who studied in the pharmaceutical field of Iran. The results of this research reveal that drug discovery and development and clinical trial analysis have the highest importance and after them, drug effectiveness and performance, drug safety, and drug personalization are in the next ranks. According to the results of this study, it can be stated that big data can help experts discover and develop better drugs and better identify the impact of drugs and other chemical compounds on the human body. Big data can assist improve the accuracy of the predictions about the impact of chemicals and drugs, which will lead to improved safety in drug production and help prevent the interactions of adverse drugs. Finally, the applications identified in this research are essential for the field of medicine and health, and big data may greatly affect the improvement of these fields. In general, it can be concluded from the results of this study that the use of big data will play an important role in pharmaceuticals and will seriously contribute to drug discovery and development, improving drug safety and effectiveness‎.
UR  - https://bprmcs.com/article/examining-the-uses-and-priorities-of-big-data-in-pharmaceuticals-4uxsdrbb2wxgkon
ER  -