A. Witteveen PhD (Annemieke)

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.

As PI, Annemieke coordinates several large projects on self-management and decision support for oncology, such as the KWF PARTNR project for optimal cancer-related fatigue treatment and the €6.32M 4TU research program RECENTRE on lifestyle and risk-based monitoring. 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. Additionally, Annemieke was awarded with the Royal Academy of Science (KNAW) Early Career Award for innovative and original research (2022) and the Henk Stassen Award for connecting medical and technical sciences (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

2023 - Henk Stassen Award for bringing medical and technical science together (€1k, Biomedical Engineering conference)

2022 - Early Career Award (€15k, Royal Academy of Science [KNAW])

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

2022 - Selected as member of the Young Academy (YA@UT)

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.

Medicine & Life Sciences

# Breast Neoplasms
# Fatigue
# Neoplasms
# Netherlands
# Nomograms
# Recurrence
# Telemedicine

Mathematics

# Partially Observable Markov Decision Process

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Biomedical Signals and Systems (BSS)

Eijkelboom, A., de Munck, L., de Vries, M., Francken, A. B., Hendriks, M. P., Strobbe, L. J. A. , Witteveen, A. , van Maaren, M. C. , & Siesling, S. (2023). Routine and interval detection of locoregional breast cancer recurrences and risk of subsequent distant metastasis. Breast cancer research and treatment, 197(1), 123–135. https://doi.org/10.1007/s10549-022-06757-3

Witteveen, A. , Beenhakker, L. , Wijlens, K. A. E., Kampman, E., & Winkels, R. M. (2022). Patterns and predictors of cancer-related fatigue domains after breast cancer: the influence of lifestyle. European journal of cancer, 175(Supplement 1), S45. https://doi.org/10.1016/S0959-8049(22)01470-8

Wijlens, K. A. E. , Beenhakker, L. , Witteveen, A., Siemerink, E. , Siesling, S. , Bode, C. , & Vollenbroek-Hutten, M. M. R. (2022). Bruikbaarheid van de toolkit met holistische patiëntenprofielen van borstkankerpatiënten met kanker-gerelateerde vermoeidheid. 35-35. Abstract from ZGT Wetenschapsdag 2022, Almelo, Netherlands.

Beenhakker, L. , Wijlens, K. A. E. , Witteveen, A., Heins, M. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2022). 162 (PB-075) Poster - Who is at risk of developing breast cancer-related fatigue: A prediction study. Abstract from 13th European Breast Cancer Conference, Barcelona, Spain. https://doi.org/10.1016/S0959-8049(22)01489-7

Beenhakker, L. , Witteveen, A. , Wijlens, K. A. E., Siemerink, E., van der Lee, M. L. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2022). 161 (PB-074) Poster - Overview of patient preference sensitive attributes in eHealth interventions for breast cancer-related fatigue. S52. Abstract from 13th European Breast Cancer Conference, Barcelona, Spain. https://doi.org/10.1016/S0959-8049(22)01488-5

Wijlens, K. A. E. , Beenhakker, L. , Witteveen, A. , Siesling, S. , Vollenbroek-Hutten, M. M. R. , & Bode, C. (2022). 158 (PB-071) Poster - Home-monitoring of cancer-related fatigue in breast cancer patients. S50-S51. Poster session presented at 13th European Breast Cancer Conference, Barcelona, Spain. https://doi.org/10.1016/S0959-8049(22)01485-X

Beenhakker, L. , Witteveen, A. , Wijlens, K. A. E., Siemerink, E. J. M., van der Lee, M. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2022). Patient preference attributes in eHealth interventions for cancer-related fatigue: A scoping review. European journal of cancer care, 31(6), [e13754]. https://doi.org/10.1111/ecc.13754

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.

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. Poster session presented at 19th Bossche Mamma Congres 2022, Sint Michielsgestel, Netherlands.

Beenhakker, L. , Wijlens, K. A. E. , Witteveen, A., Heins, M. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2022). Prediction of cancer-related fatigue using multiple machine learning models. Abstract from WEON 2022, Nijmegen, Netherlands.

Beenhakker, L. , Wijlens, K. A. E. , Witteveen, A., Heins, M. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2022). Prediction of individual risk of developing cancer-related fatigue in breast cancer patients. Abstract from 19th Bossche Mamma Congres 2022, Sint Michielsgestel, 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

Beenhakker, L. , Wijlens, K. A. E. , Witteveen, A., Siemerink, E. J. M. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2021). eHealth interventies tegen kanker-gerelateerde vermoeidheid en aspecten voor het personaliseren van de behandeling. 11. Abstract from ZGT Wetenschapsdag 2021, Almelo, Netherlands.

Beenhakker, L. , Wijlens, K. A. E. , Witteveen, A., Siemerink, E. J. M. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2021). Risico op kanker-gerelateerde vermoeidheid na borstkanker. 16. Abstract from ZGT Wetenschapsdag 2021, Almelo, Netherlands.

Wijlens, K. A. E. , Beenhakker, L. , Witteveen, A., Siemerink, E. J. M. , Siesling, S. , Bode, C. , & Vollenbroek-Hutten, M. M. R. (2021). Toolkit met holistische patiëntenprofielen van borstkankerpatiënten met kanker-gerelateerde vermoeidheid. 15. Abstract from ZGT Wetenschapsdag 2021, Almelo, Netherlands.

Draeger, T., Voelkel, V. , Groothuis-Oudshoorn, C. G. M. , Lavric, M. , Veltman, J., Dassen, A., Boersma, L. J. , Witteveen, A., Sonke, G. S. , Koffijberg, H. , & Siesling, S. (2020). Applying Risk-Based Follow-Up Strategies on the Dutch Breast Cancer Population: Consequences for Care and Costs. Value in health, 23(9), 1149-1156. https://doi.org/10.1016/j.jval.2020.05.012

Jeeninga-Witteveen, A., de Munck, L. , Oudshoorn, C. G. M., Sonke, G. S., Poortmans, P. M., Boersma, L. J., Smidt, M. L. , Vliegen, I. M. H. , IJzerman, M. J. , & Siesling, S. (2020). Evaluating the Age‐Based Recommendations for Long‐Term Follow‐Up in Breast Cancer. Oncologist, 25(9), e1330-e1338. https://doi.org/10.1634/theoncologist.2019-0973

Otten, M. , Timmer, J. , & Witteveen, A. (2020). Stratified breast cancer follow-up using a continuous state partially observable Markov decision process. European journal of operational research, 281(2), 464-474. https://doi.org/10.1016/j.ejor.2019.08.046

van Steenbeek, C. D. , van Maaren, M. C. , Siesling, S. , Witteveen, A., Verbeek, X. A. A. M. , & Koffijberg, H. (2019). Facilitating validation of prediction models: A comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands. BMC medical research methodology, 19(1), [117]. https://doi.org/10.1186/s12874-019-0761-5

Witteveen, A. (2018). INFLUENCE: individualized follow-up for breast cancer. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036546409

Witteveen, A. , Otten, J. W. M. , Vliegen, I. M. H. , Siesling, S. , Timmer, J. B. , & IJzerman, M. J. (2018). Risk-based breast cancer follow-up stratified by age. Cancer medicine, 7(10), 5291-5298. [CAM41760]. https://doi.org/10.1002/cam4.1760

Witteveen, A., Nane, G. F., Vliegen, I. M. H. , Siesling, S. , & IJzerman, M. J. (2018). Comparison of Logistic Regression and Bayesian Networks for Risk Prediction of Breast Cancer Recurrence. Medical decision making, 38(7), 822-833. https://doi.org/10.1177/0272989X18790963

de Ligt, K. M. , Witteveen, A. , Siesling, S. , & Steuten, L. M. G. (2018). Shifting breast cancer surveillance from current hospital setting to a community based setting: A cost-effectiveness study. BMC cancer, 18(1), [96]. https://doi.org/10.1186/s12885-018-3992-7

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.

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INTERVIEWS (selection)

Bij Oost Vandaag, 04-02-2022 https://www.rtvoost.nl/tv/aflevering/bij-oost-vandaag/2052821_20220204170000
Afslag Oost, 04-02-2022 https://www.rtvoost.nl/radio/programma/42/Afslag-Oost/aflevering/610621 (from 46.00 min.)
1Twente Vandaag, 13-10-2021 https://www.youtube.com/watch?v=J6XcdyKW9ac
NPO1 Focus, 21-10-2021 https://www.nporadio1.nl/fragmenten/focus/f6a80b7b-d1c8-4847-a2cd-3a3b802b492b/2021-10-21-als-je-genezen-bent-van-kanker-is-de-ziekte-nog-niet-weg-uit-je-leven

Tweets by Witteveen_A

+31534894708

+31534893365 (bij geen gehoor)

a.witteveen@utwente.nl

www.utwente.nl/influence

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst - Zuidhorst (gebouwnr. 28)
De Horst 2
7522LW Enschede

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst Complex (gebouwnr. 20), kamer ZH210
De Horst 2
7522LW Enschede

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Horst Complex ZH210
Postbus 217
7500 AE Enschede

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Biomedical Signals and Systems (BSS)

Universiteit Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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