Eva K. Lee, Georgia Institute of Technology

Ariela Sofer, George Mason University

Optimization has long been a cornerstone for advancement of various industrial, government, and military applications. In recent years, it has become increasingly important in advancing research and development related to medical and biological applications. Complexity of medical devices and delivery systems demands solutions to complex decision problems; and biological and clinical applications provide rich, sometimes overwhelming, sources of data upon which challenging optimization problems must be formulated and solved. Such challenges stimulate partnerships between members of the mathematical programming community and biologists, clinicians, public health officials, and others. These partnerships provide excellent opportunities to push the frontier of theoretical and computational optimization while solving important problems that benefit society and mankind.

To highlight and support the role of optimization and computation in such applications, and to disseminate advances to the broad research community in a timely manner, the Annals of Operations Research: Operations Research in Medicine special section was established in 2000. Each volume is devoted to presenting state-of-the-art research results in this dynamic and exciting area. We seek original, high quality contributions that investigate theoretical or methodological work on models and algorithms involving continuous linear and nonlinear optimization, integer programming, combinatorial optimization and stochastic approaches applied to medical and biological applications.

Manuscripts must be original, previously unpublished, and not currently under review in other journals. Each manuscript will be subjected to peer review according to the standard of Annals of Operations Research.

Potential topics

• Disease modeling
• Medical diagnosis
• Treatment planning
• Biological and medical imaging
• Epidemiology
• Molecular biology
• Continuous linear and nonlinear optimization applied to medical and biological applications
• Integer programming applied to medical and biological applications
• Combinatorial optimization applied to medical and biological applications
• Stochastic approaches applied to medical and biological applications

Timeline

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