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SUMMARY:Mathematical Optimization for Clinical Diagnosis and Decision Supp
 ort
DTSTART:20161125T101500
DTEND:20161125T111500
DTSTAMP:20260410T010034Z
UID:f4052a84f3ebc2822be47f35a418f962ada488235a02b812f18041d5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Sebastian Sager\nMathematical methods are an ongoing success s
 tory in many areas of modern life. More recently\, mathematical modeling\,
  simulation\, and optimization/control have also been receiving more atten
 tion in the context of clinical diagnosis and therapy. We shall present on
 going work which is based on a tight cooperation with cardiologists and on
 cologists. The examples are meant to be prototypical and comprehend the di
 agnosis of cardiac arrhythmia\, a faster detection of the source of extras
 ystoles\, and prediction/prevention of leukopenia after chemotherapy treat
 ment of acute myeloid leukemia patients. Our approach is pragmatic and opt
 imization-driven: using phenomenological\, but patient-specific mathematic
 al models we try to derive diagnosis or treatment plans that capture the i
 ndividual dynamics better than clinical standard procedures.\n\nBio: Sebas
 tian Sager studied mathematics in Heidelberg. In 2006 he got his PhD and i
 n 2012 his habilitation\, also in mathematics and in Heidelberg. In 2012\,
  he became full professor for Algorithmic Optimization at the Otto-von-Gue
 ricke-University Magdeburg. His group comprises currently 2 postdocs and 1
 3 PhD students. The group's main focus is on the application driven develo
 pment of optimization methods\, and their efficient implementation on comp
 uters. This comprises nonlinear and integer optimization\, as well as opti
 mal control and experimental design. A specialization is in numerical algo
 rithms for mixed-integer optimal control.\n\nIn 2015 Sager got an ERC Cons
 olidator Grant for his research project: Mathematical Optimization for Cli
 nical Decision Support and Training (MODEST) and was awarded with the Otto
 -von-Guericke Research Award\, the main research prize of his university.
LOCATION:ME C2 405 https://plan.epfl.ch/theme/generalite_thm_v2?dim_floor=
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STATUS:CONFIRMED
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