International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.
International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.
Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.
Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.
Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.
Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.
Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.
International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.
Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.
Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.
Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.
An International Open Access Journal Devoted to General 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.