Pharmacoepidemiology and Clinical pharmacology using big data in medicine.

The use of big data in medicine will enable the early detection of adverse events and pharmacological effects caused by single drugs or drug-drug interactions. Numerous pharmacoepidemiologists and clinical pharmacologists are already using big data to discover unknown adverse events and new pharmacological effects that were not revealed in pre-marketing clinical trials. These analysis cases will significantly contribute to the proper use of drugs. However, to obtain relevant analysis results, it is necessary to grasp and deepen our understanding of the characteristics and utilization limits of big data (databases) used in research. Therefore, this special issue focuses on actual analysis cases and data analysis methods using big data in pharmacoepidemiology and clinical pharmacology. In addition, big data studies covered in this special issue include not only studies using spontaneous reporting systems and claims databases but also studies using omics and in silico databases.

Submission deadline: 24/06/2024