Medicine International Special Issues
Professor Carlos M. Ardila
University of Antioquia
Technology continues to change healthcare education (and patient results) with new and innovative methods. Technology has also become a connection between universities, professors, undergraduates, and postgraduates. In addition to virtual lectures and online exams, patient simulations are present, as augmented reality, and other training mechanisms that prepare students to enter increasingly tech-heavy careers upon graduation. While few aptitudes trump lively observation, tech abilities and knowledge are on the rise. The integration of technology into health sciences curricula is thought to improve efficiency and enhance student experiences through active learning and interactive learning designs.
Submission deadline: 25 May 2023
Dr Yoshihiro Noguchi
Gifu Pharmaceutical University
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 June 2023