Mathematical Optimization for Clinical Diagnosis and Decision Support
Event details
| Date | 25.11.2016 |
| Hour | 10:15 › 11:15 |
| Speaker | Sebastian Sager |
| Location | |
| Category | Conferences - Seminars |
Mathematical methods are an ongoing success story in many areas of modern life. More recently, mathematical modeling, simulation, and optimization/control have also been receiving more attention in the context of clinical diagnosis and therapy. We shall present ongoing work which is based on a tight cooperation with cardiologists and oncologists. The examples are meant to be prototypical and comprehend the diagnosis of cardiac arrhythmia, a faster detection of the source of extrasystoles, and prediction/prevention of leukopenia after chemotherapy treatment of acute myeloid leukemia patients. Our approach is pragmatic and optimization-driven: using phenomenological, but patient-specific mathematical models we try to derive diagnosis or treatment plans that capture the individual dynamics better than clinical standard procedures.
Bio: Sebastian Sager studied mathematics in Heidelberg. In 2006 he got his PhD and in 2012 his habilitation, also in mathematics and in Heidelberg. In 2012, he became full professor for Algorithmic Optimization at the Otto-von-Guericke-University Magdeburg. His group comprises currently 2 postdocs and 13 PhD students. The group's main focus is on the application driven development of optimization methods, and their efficient implementation on computers. This comprises nonlinear and integer optimization, as well as optimal control and experimental design. A specialization is in numerical algorithms for mixed-integer optimal control.
In 2015 Sager got an ERC Consolidator Grant for his research project: Mathematical Optimization for Clinical Decision Support and Training (MODEST) and was awarded with the Otto-von-Guericke Research Award, the main research prize of his university.
Bio: Sebastian Sager studied mathematics in Heidelberg. In 2006 he got his PhD and in 2012 his habilitation, also in mathematics and in Heidelberg. In 2012, he became full professor for Algorithmic Optimization at the Otto-von-Guericke-University Magdeburg. His group comprises currently 2 postdocs and 13 PhD students. The group's main focus is on the application driven development of optimization methods, and their efficient implementation on computers. This comprises nonlinear and integer optimization, as well as optimal control and experimental design. A specialization is in numerical algorithms for mixed-integer optimal control.
In 2015 Sager got an ERC Consolidator Grant for his research project: Mathematical Optimization for Clinical Decision Support and Training (MODEST) and was awarded with the Otto-von-Guericke Research Award, the main research prize of his university.
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