EEMCS-EE-BSS

Annemieke Witteveen is Associate 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 ‚ā¨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), the Henk Stassen Award for connecting medical and technical sciences (2023) and the BOOG (Borstkanker Onderzoek Groep) Young Investigator Award for excellence in breast cancer research (2024).¬†Annemieke is married and has three kids.

 

WORK EXPERIENCE

2024-present Associate Professor Personalized eHealth Technology for Oncology, Biomedical Signals and Systems (BSS) group, University of Twente         

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)

2021-2023  Assistant Professor, Personalized eHealth Technology for Oncology, Biomedical Signals and Systems (BSS) group, 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

2024 - BOOG Young Investigator Award for excellence in breast cancer research (Borstkanker Onderzoek Groep) 

2023¬†¬†-¬† Henk Stassen Award for bringing medical and technical science together (‚ā¨1k, Biomedical Engineering conference)

2023¬†- Educational improvement grant (‚ā¨15k, EEMCS faculty University of Twente)

2022¬†-¬†Early Career Award¬†¬†(‚ā¨15k, Royal Academy of Science [KNAW])

2022¬†-¬†4TU program¬†RECENTRE: Risk-based lifEstyle Change: daily-lifE moNiToring and REcommendations (‚ā¨6.32M, 4TU) ‚Äď Project Leader

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

2021¬†¬†-¬† Rene Vogels Foundation Travel Grant, Harvard (USA) (‚ā¨5k, Dutch Society for Oncology, NVvO)

2021¬†‚Äď Project sponsoring ‚ÄėBetter informed, better care: Optimizing cancer information based on individual patient preferences‚Äô (‚ā¨324k, Pfizer/Roche/UT) ‚Äď Project Leader

2020¬†-¬†Veni Grant¬†‚ÄėTowards a higher quality of life after cancer: dynamic prediction, monitoring and recommendations for late effects after breast cancer‚Äô (‚ā¨250k, Dutch Research Council [NOW]/ Netherlands Organisation for Health Research and Development [ZonMW]) ‚Äď 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¬†(‚ā¨735k, Dutch Research Council [NWO] and Dutch Cancer Society [KWF]) ‚Äď Project Leader

2019¬† -¬† Research Voucher (‚ā¨50k, ZiekenhuisGroep Twente hospitals) ‚Äď Project Leader

2016¬†¬†-¬† Tech4People Travel Grant, Sorbonne University (France) (‚ā¨1k, University of Twente)

2015¬†¬†-¬† Rene Vogels Foundation Travel Grant, Mayo Clinic (USA) (‚ā¨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.

Expertises

  • Psychology

    • Breast Cancer
    • Treatment
  • Medicine and Dentistry

    • Patient
    • Recurrent Disease
    • Follow up
    • Cancer-Related Fatigue
  • Nursing and Health Professions

    • Fatigue
    • Malignant Neoplasm

Organisaties

Publicaties

2024
2023
A holistic profile for cancer-related fatigue for women with breast cancer‚Äďa qualitative studyPsychology and Health (E-pub ahead of print/First online). Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siemerink, E. J. M., Jansen, L., Gernaat, C., Schellekens, M. P. J., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.https://doi.org/10.1080/08870446.2023.2289457Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15¬†years after diagnosisJournal of cancer survivorship (E-pub ahead of print/First online). Beenhakker, L., Wijlens, K. A. E., Witteveen, A., Heins, M., Korevaar, J. C., de Ligt, K. M., Bode, C., Vollenbroek-Hutten, M. M. R. & Siesling, S.https://doi.org/10.1007/s11764-023-01491-1Systematic review and meta-analysis of preoperative predictors for early mortality following hip fracture surgeryOsteoporosis international, 35(4), 561–574. Bui, M., Nijmeijer, W., Hegeman, H., Witteveen, A. & Oudshoorn, C.https://doi.org/10.1007/s00198-023-06942-0Operatieve versus conservatieve behandelingen bij kwetsbare ouderen met een heupfractuur: een klinische vignettenstudie en structured expert judgement onder artsen, 27-27. Bui, M., Hegeman, H., Witteveen, A. & Oudshoorn, C.Preferences of breast cancer patients related to attributes of eHealth interventions for cancer-related fatigue, 76. Beenhakker, L., Brughuis, M. D. M., Wijlens, K. A. E., Bode, C., Siesling, S., Vollenbroek-Hutten, M. M. R., Witteveen, A. & van Til, J. A.Monitoring of cancer-related fatigue after breast cancer in daily-life: from development towards implementation, 75. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.Content validity of a toolkit for holistic monitoring of cancer-related fatigue in breast cancer patients. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.Routine and interval detection of locoregional breast cancer recurrences and risk of subsequent distant metastasisBreast cancer research and treatment, 197(1), 123–135. 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.https://doi.org/10.1007/s10549-022-06757-3
2022
Patient preference attributes in eHealth interventions for cancer-related fatigue: A scoping reviewEuropean journal of cancer care, 31(6), Article e13754. 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.https://doi.org/10.1111/ecc.13754158 (PB-071) Poster - Home-monitoring of cancer-related fatigue in breast cancer patients, S50-S51. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.https://doi.org/10.1016/S0959-8049(22)01485-X161 (PB-074) Poster - Overview of patient preference sensitive attributes in eHealth interventions for breast cancer-related fatigue, S52. Beenhakker, L., Witteveen, A., Wijlens, K. A. E., Siemerink, E., van der Lee, M. L., Bode, C., Siesling, S. & Vollenbroek-Hutten, M. M. R.https://doi.org/10.1016/S0959-8049(22)01488-5162 (PB-075) Poster - Who is at risk of developing breast cancer-related fatigue: A prediction study. Beenhakker, L., Wijlens, K. A. E., Witteveen, A., Heins, M., Bode, C., Siesling, S. & Vollenbroek-Hutten, M. M. R.https://doi.org/10.1016/S0959-8049(22)01489-7Patterns and predictors of cancer-related fatigue domains after breast cancer: the influence of lifestyleEuropean journal of cancer, 175(Supplement 1), S45. Witteveen, A., Beenhakker, L., Wijlens, K. A. E., Kampman, E. & Winkels, R. M.https://doi.org/10.1016/S0959-8049(22)01470-8Bruikbaarheid van de toolkit met holistische pati√ęntenprofielen van borstkankerpati√ęnten met kanker-gerelateerde vermoeidheid, 35-35. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siemerink, E., Siesling, S., Bode, C. & Vollenbroek-Hutten, M. M. R.Design of a toolkit for holistic monitoring of cancer-related fatigue in breast cancer patients. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.Design of a toolkit for holistic monitoring of cancer-related fatigue in breast cancer patients. Wijlens, K. A. E., Beenhakker, L., Witteveen, A., Siesling, S., Vollenbroek-Hutten, M. M. R. & Bode, C.Prediction of individual risk of developing cancer-related fatigue in breast cancer patients. Beenhakker, L., Wijlens, K. A. E., Witteveen, A., Heins, M., Bode, C., Siesling, S. & Vollenbroek-Hutten, M. M. R.Prediction of cancer-related fatigue using multiple machine learning models. Beenhakker, L., Wijlens, K. A. E., Witteveen, A., Heins, M., Bode, C., Siesling, S. & Vollenbroek-Hutten, M. M. R.
2021
2020

Onderzoeksprofielen

Adres

Universiteit Twente

Horst - Zuidhorst (gebouwnr. 28)
De Horst 2
7522 LW Enschede

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Universiteit Twente

Horst Complex (gebouwnr. 20), kamer ZH210
De Horst 2
7522 LW Enschede

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Organisaties

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