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Mathematical Optimization for clinical DEcision Support and Training

Total Cost €


EC-Contrib. €






Project "MODEST" data sheet

The following table provides information about the project.


Organization address
postcode: 39106

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website
 Total cost 1˙998˙500 €
 EC max contribution 1˙998˙500 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-CoG
 Funding Scheme ERC-COG
 Starting year 2015
 Duration (year-month-day) from 2015-07-01   to  2020-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Physicians need to make many important decisions per day. One clinical example is the scheduling and dosage of chemotherapy treatments. A second example is the discrimination of atrial fibrillation from atypical atrial flutter, based on ECG data. Such important and complex decisions are usually based on expert knowledge, accumulated throughout the life of a physician and shaped by subjective (and sometimes unconscious) experience. It is not readily transferable and may be unavailable in rural areas. At the same time, the available imaging, laboratory, and basic clinical data is abundant and waits to be used. This data is not yet systematically integrated and often single data-points are used to make therapy decisions.

More and more clinical decision making tasks will be modeled in terms of mathematical relations. I propose a systematic approach that supports and trains individual decision making. The developed ideas, mathematical models, and optimization algorithms will be generic and widely applicable in medicine and beyond, but also exploit specific structures, resulting in a patient- and circumstance-specific personalized medicine.

This allows, e.g., a physician to first simulate the impact of his decisions on a computer and to consider optimized solutions. In the future, it will be the rare and unwanted exception that an important decision can not be backed up by consultation of a model-driven decision support system or based upon a systematic model-driven training.

MODEST has a mathematical core. It builds on a comprehensive, interdisciplinary work program, based on disciplinary expertise in mixed-integer optimal control and existing collaborations with medical and educational experts. It is both timely, given the increasing availability of data and the maturity of mathematical methods, models, and software; as well as high-impact, due to the large number of clinical areas that may benefit from optimization-based decision support and training tools.


year authors and title journal last update
List of publications.
2016 Kristine Rinke, Felix Jost, Rolf Findeisen, Thomas Fischer, Rainer Bartsch, Enrico Schalk, Sebastian Sager
Parameter estimation for leukocyte dynamics after chemotherapy * *This research was supported by a research grant of the “nternational Max Planck Research School (IMPRS) for Advanced Methods in Process and System Engineering (Magdeburg)” and from the European Research Council via the Consolidator Grant MODEST-647573.
published pages: 44-49, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2016.12.101
IFAC-PapersOnLine 49/26 2020-02-18
2016 Felix Jost, Kristine Rinke, Thomas Fischer, Enrico Schalk, Sebastian Sager
Optimum Experimental Design for Patient Specific Mathematical Leukopenia Models * *This project has received funding from the European Research Council (ERC) under the European Union\'s Horizon 2020 research and innovation programme (grant agreement No 647573), which is gratefully acknowledged.
published pages: 344-349, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2016.12.150
IFAC-PapersOnLine 49/26 2020-02-17
2018 Manuel Tetschke, Patrick Lilienthal, Torben Pottgiesser, Thomas Fischer, Enrico Schalk, Sebastian Sager
Mathematical Modeling of RBC Count Dynamics after Blood Loss
published pages: 157, ISSN: 2227-9717, DOI: 10.3390/pr6090157
Processes 6/9 2020-02-17
2018 Thuy T. T. Le, Felix Jost, Sebastian Sager
Optimal Control of Vibration-Based Micro-energy Harvesters
published pages: 1025-1042, ISSN: 0022-3239, DOI: 10.1007/s10957-018-1250-4
Journal of Optimization Theory and Applications 179/3 2020-02-17
2019 Tobias Weber, Sebastian Sager, Ambros Gleixner
Solving quadratic programs to high precision using scaled iterative refinement
published pages: 421-455, ISSN: 1867-2949, DOI: 10.1007/s12532-019-00154-6
Mathematical Programming Computation 11/3 2020-02-17
2019 Tony Huschto, Mark Podolskij, Sebastian Sager
The asymptotic error of chaos expansion approximations for stochastic differential equations
published pages: 145-165, ISSN: 2351-6046, DOI: 10.15559/19-vmsta133
Modern Stochastics: Theory and Applications 2020-02-17
2018 Thuy T T Le, Felix Jost, Thomas Raupach, Jakob Zierk, Manfred Rauh, Meinolf Suttorp, Martin Stanulla, Markus Metzler, Sebastian Sager
A mathematical model of white blood cell dynamics during maintenance therapy of childhood acute lymphoblastic leukemia
published pages: 471-488, ISSN: 1477-8599, DOI: 10.1093/imammb/dqy017
Mathematical Medicine and Biology: A Journal of the IMA 36/4 2020-02-17
2019 Felix Jost, Enrico Schalk, Kristine Rinke, Thomas Fischer, Sebastian Sager
Mathematical models for cytarabine-derived myelosuppression in acute myeloid leukaemia
published pages: e0204540, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0204540
PLOS ONE 14/7 2020-02-17
2016 Clemens Zeile, Eberhard Scholz, Sebastian Sager
A Simplified 2D Heart Model of the Wolff-Parkinson-White Syndrome
published pages: 26-31, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2016.12.098
IFAC-PapersOnLine 49/26 2020-02-17
2018 H. Diedam, S. Sager
Global optimal control with the direct multiple shooting method
published pages: 449-470, ISSN: 0143-2087, DOI: 10.1002/oca.2324
Optimal Control Applications and Methods 39/2 2020-02-17
2019 Adrian Bürger, Clemens Zeile, Angelika Altmann-Dieses, Sebastian Sager, Moritz Diehl
Design, implementation and simulation of an MPC algorithm for switched nonlinear systems under combinatorial constraints
published pages: 15-30, ISSN: 0959-1524, DOI: 10.1016/j.jprocont.2019.05.016
Journal of Process Control 81 2020-02-17
2018 F. Kehrle
Inverse Simulation for Cardiac Arrhythmia
published pages: , ISSN: , DOI:
2018 S. Sager
Optimization and Clinical Decision Support
published pages: 1-8, ISSN: , DOI:
Optima Newsletter 104 2019-06-06
2017 Felix Jost, Sebastian Sager, Thuy Le
A Feedback Optimal Control Algorithm with Optimal Measurement Time Points
published pages: 10, ISSN: 2227-9717, DOI: 10.3390/pr5010010
Processes 5/4 2019-06-06
2017 Michael Engelhart, Joachim Funke, Sebastian Sager
A web-based feedback study on optimization-based training and analysis of human decision making
published pages: , ISSN: 2365-8037, DOI: 10.11588/jddm.2017.1.34608
Journal of dynamic decision making Vol.3 2019-06-06
2017 Tobias Weber, Hugo A. Katus, Sebastian Sager, Eberhard P. Scholz
Novel algorithm for accelerated electroanatomic mapping and prediction of earliest activation of focal cardiac arrhythmias using mathematical optimization
published pages: 875-882, ISSN: 1547-5271, DOI: 10.1016/j.hrthm.2017.03.001
Heart Rhythm 14/6 2019-06-06

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