Readership
Artificial Intelligence Engineers, Artificial Intelligence Researcher, Clinical Pharmacologists, Clinical Researchers, Health Economists, Informaticians, Informaticists, Pharmaceutical Benefits Managers, Pharmaceutical Scientistists, Pharmacists, Pharmacologists, Pharmacometricians, Quality Managers, Researchers, Scientists, Scientists - Research/Biomedical Aging, Systems Biologists, Toxicologists
Scope
This cross-disciplinary journal is devoted to advancing the development and application of quantitative methods in medicine. It fosters global innovation and collaboration among scientists focused on the development, regulatory assessment, and therapeutic use of medicines.
QM showcases a diverse range of scientific content, including but not limited to: Pharmacometrics: Pharmaco-statistical, mechanistic, and systems biology/pharmacology modeling; Simulation-Based Approaches: Clinical trial simulations and digital twins; AI/ML and Informatics: Applications of artificial intelligence, machine learning, and data science; Integrated Evidence Synthesis: Model-based meta-analyses, causal inference, real-world evidence, network analyses, and health economics and outcomes research.
It highlights contributions such as:
Development of novel methods and tools; Standalone or integrated applications; Insights from applied quantitative approaches for decision and information analysis; Best practices and tutorials
Regulatory perspectives and considerations.