Welcome...

A. Witteveen PhD (Annemieke)

Assistant Professor

About Me

Annemieke Witteveen is Assistant Professor at the Biomedical Signals and Systems (BSS) group and the Personalized eHealth Technology (PeHT) research program. Her research line focusses on building dynamic patient-level models for personalized prediction, monitoring and optimization to support clinical decision making in oncology. See also her interview as a featured scientist.

She studied Technical Medicine and Health Sciences at the University of Twente. After graduation, Annemieke started working as a PhD at the department of Health Technology and Services Research (HTSR) at the University of Twente. Here she worked on individualizing the breast cancer follow-up based on individual time-dependent risk profiles, resulting in a.o. the INFLUENCE nomogram. Her thesis received the prize for best oncology thesis in the Netherlands of 2018/2019.

She currently works on self-management and decision support for oncology, such as the KWF PARTNR project. In 2020 she was awarded a NWO/ZonMW veni grant for researching dynamic models to predict, monitor and make recommendations for the late effects after breast cancer. She was selected as Young Academy member of the University of Twente in 2022. As main applicant, she recently acquired a 4TU research program of €6.32M called RECENTRE which will commence in 2023. Annemieke is married and has three kids.


WORK EXPERIENCE

2022            Visiting researcher, Harvard T.H. Chan School of Public Health (Harvard University, Boston, USA)

2022            Visiting researcher, Memorial Sloan Kettering Cancer Center (NY, USA)

2021-present Assistant Professor, Biomedical Signals and Systems, Personalized eHealth Technology (PeHT) research program (University of Twente)

2019-present Coordinator Health and Wellbeing track, Digital Society reseach program (University of Twente/VSNU)

2019-2021    Postdoctoral researcher, Biomedical Signals and Systems group, Personalized eHealth Technology (PeHT) research program (University of Twente)

2015             Visiting researcher, Center for the Science of Health Care Delivery (Mayo Clinic, Rochester, MN)

2013-2018    PhD student, Health Technology and Services Research (University of Twente)

 

GRANTS AND PRIZES

2022 - 4TU program RECENTRE: Risk-based lifEstyle Change: daily-lifE moNiToring and REcommendations (€6.32M, 4TU) – Project Leader

2021  -  Rene Vogels Foundation Travel Grant, Harvard (USA) (€5k, Dutch Society for Oncology, NVvO)

2021 – Project sponsoring ‘Better informed, better care: Optimizing cancer information based on individual patient preferences’ (€324k, Pfizer/Roche/UT) – Project Leader

2020 - Veni Grant ‘Towards a higher quality of life after cancer: dynamic prediction, monitoring and recommendations for late effects after breast cancer’ (€250k, Dutch Research Council [NOW]/ Netherlands Organisation for Health Research and Development [ZonMW]) – Project Leader

2019 - Best Thesis in Oncology Prize of the Netherlands and Belgium in 2018/2019 (Dutch and Flemish organizations for medical oncology, NVMO/BSMO)

2019  Technology for Oncology Grant (€735k, Dutch Research Council [NWO] and Dutch Cancer Society [KWF]) – Project Leader

2019  -  Research Voucher (€50k, ZiekenhuisGroep Twente hospitals) – Project Leader

2016  -  Tech4People Travel Grant, Sorbonne University (France) (€1k, University of Twente)

2015  -  Rene Vogels Foundation Travel Grant, Mayo Clinic (USA) (€4k, Dutch Society for Oncology, NVvO)

 

NETWORKS

Member of professional societies:
· Vereniging voor Epidemiologie (VvE)
· International Society for Pharmacoeconomics and Outcomes Research (ISPOR)·
· Society for Medical Decision Making (SMDM)

 

TEACHING

Annemieke was involved in the bachelor courses Klinische Epidemiologie
(Gezondheidswetenschappen) and Epidemiologie, Statistiek en MTA (Technische
Geneeskunde), and the master course Clinical Efficacy and MTA (Health Sciences). Also,
Annemieke supervised several master students with their thesis. In 2016 and 2017 she was organizer and course leader of the University of Twente CuriousU summer school track The Future of Health Technology. In 2019 she started another course on Personalized eHealth Technology. She is developing a new master course on eHealth for the Technical Medicine curriculum.


 

Expertise

Medicine & Life Sciences
Breast Neoplasms
Netherlands
Nomograms
Recurrence
Registries
Mathematics
Breast Cancer
Optimal Value Function
Partially Observable Markov Decision Process

Publications

Recent
Wijlens, K. A. E. , Beenhakker, L. , Witteveen, A. , Siesling, S. , Vollenbroek-Hutten, M. M. R. , & Bode, C. (2022). Design of a toolkit for holistic monitoring of cancer-related fatigue in breast cancer patients. 11th Annual Conference of the Association for Researchers in Psychology and Health, ARPH 2022, Egmond aan Zee, Netherlands.
Zegers, C. M. L. , Witteveen, A., Schulte, M. H. J., Henrich, J. F., Vermeij, A., Klever, B., & Dekker, A. (2021). Mind your data: Privacy and legal matters in eHealth. JMIR Formative Research, 5(3), [e17456]. https://doi.org/10.2196/17456
Otten, M. , Timmer, J. , & Witteveen, A. (2018). Stratified breast cancer follow-up using a continuous state partially observable Markov decision process. (TW-Memoranda; No. 2064). University of Twente, Department of Applied Mathematics.
van Maaren, M. C., van Steenbeek, C. D., Pharoah, P. D. P. , Witteveen, A., Sonke, G. S., Strobbe, L. J. A., Poortmans, P. M. P. , & Siesling, S. (2017). Validation of the online prediction tool PREDICT v. 2.0 in the Dutch breast cancer population. European journal of cancer, 86, 364-372. https://doi.org/10.1016/j.ejca.2017.09.031
Geurts, Y. M. , Witteveen, A., Bretveld, R., Poortmans, P. M. P., Sonke, G. S., Strobbe, L. J. A. , & Siesling, S. (2017). Patterns and predictors of first and subsequent recurrence in women with early breast cancer. Breast cancer research and treatment, 165(3), 709-720. https://doi.org/10.1007/s10549-017-4340-3
Otten, J. W. M. , Witteveen, A. , Vliegen, I. M. H. , Siesling, S. , Timmer, J. B. , & IJzerman, M. J. (2017). Stratified breast cancer follow-up using a partially observable Markov decision process. In R. J. Boucherie, & N. M. van Dijk (Eds.), Markov Decision Processes in Practice (pp. 223-244). (International Series in Operations Research & Management Science; Vol. 248). Springer. https://doi.org/10.1007/978-3-319-47766-4_7

UT Research Information System

Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst Complex (building no. 20), room ZH210
De Horst 2
7522LW  Enschede
The Netherlands

Navigate to location

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst - Zuidhorst (building no. 28)
De Horst 2
7522LW  Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst - Zuidhorst
P.O. Box 217
7500 AE Enschede
The Netherlands