K.A.E. Wijlens MSc (Kim)

Medicine & Life Sciences

# Breast Neoplasms
# Fatigue
# Life Style
# Neoplasms
# Patient Preference
# Posters
# Second Primary Neoplasms
# Telemedicine

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

I will be working on the PARTNR project (Personalized cAnceR TreatmeNt and caRe, https://www.utwente.nl/nl/techmed/partnr/) to create a platform for breast cancer patients to predict, monitor and provide personal interventions for them against cancer-related fatigue.

Beenhakker, L. , Wijlens, K. A. E. , Witteveen, A. , Bode, C. , Siesling, S. , & Vollenbroek-Hutten, M. M. R. (2024). Decision support towards optimal intervention for breast cancer patients who experience cancer-related fatigue. In 45th Annual North American Meeting of the Society for Medical Decision Making, Philadelphia, Pennsylvania, United States, 22-25 October 2023 Article 23947 Advance online publication. https://doi.org/10.1177/0272989X241236400

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. (2023). A holistic profile for cancer-related fatigue for women with breast cancer–a qualitative study. Psychology and Health. Advance online publication. https://doi.org/10.1080/08870446.2023.2289457

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. (2023). Development of machine learning models to predict cancer-related fatigue in Dutch breast cancer survivors up to 15 years after diagnosis. Journal of cancer survivorship. Advance online publication. https://doi.org/10.1007/s11764-023-01491-1

Schaab, M. , Wijlens, K. A. E. , & Bode, C. (2023). Psychological Coping Factors Associated With Breast Cancer-Related Fatigue: A Systematic Review of Recent Evidence for Stages 0 to III. Clinical breast cancer, 23(7), E401-E411. https://doi.org/10.1016/j.clbc.2023.06.005

Wijlens, K. A. E. , Beenhakker, L. , Witteveen, A. , Siesling, S. , Vollenbroek-Hutten, M. M. R. , & Bode, C. (2023). Content validity of a toolkit for holistic monitoring of cancer-related fatigue in breast cancer patients. Abstract from 12th Annual ARPH Conference 2023, Enschede, Netherlands.

Wijlens, K. A. E. , Beenhakker, L. , Witteveen, A. , Siesling, S. , Vollenbroek-Hutten, M. M. R. , & Bode, C. (2023). Monitoring of cancer-related fatigue after breast cancer in daily-life: from development towards implementation. 75. Poster session presented at 12th Supporting Health by Technology Conference 2023, Enschede, Netherlands.

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. (2023). Preferences of breast cancer patients related to attributes of eHealth interventions for cancer-related fatigue. 76. Abstract from 12th Supporting Health by Technology Conference 2023, Enschede, Netherlands.

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

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PERSONALIZED CANCER TREATMENT AND CARE (PARTNR) PLATFORM

One in seven women in the Netherlands will be diagnosed with breast cancer at some point in her life. Up to 90% of the patients experience some form of cancer-related fatigue (CRF) after diagnosis and for 30%, this fatigue remains problematic up to 10 years after diagnosis. As fatigue is a multi-dimensional problem, the patient should be assessed holistically. Early treatment is important, to keep it from becoming chronic. Based on the holistic patient profile, a personalized advice for an intervention against CRF can be given. In the PARTNR project, an intelligent self-learning system for these patients is developed, combining medical data with data on daily-life functioning to provide a personalized recommendation for an intervention against CRF.

The Biomedical Signals and Systems group coordinates and leads the project, which is a collaboration between the University of Twente, ZiekenhuisGroep Twente (ZGT), Helen Dowling Institute (HDI), Roessingh rehabilitation centre, Roessingh Research and Development (RRD), Netherlands Comprehensive Cancer Organisation (IKNL), Evidencio, Ivido and the University Medical Centre of Groningen (UMCG). Also, two patient advocates from the Dutch Breast Cancer Association (BVN) give their advice.

This research is supported by the Dutch Cancer Society (KWF) and NWO Domain AES, as part of their joint strategic research programme: Technology for Oncology II. The collaboration project is co-funded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships.

https://www.utwente.nl/en/techmed/partnr/

https://www.utwente.nl/en/techmed/partnr/news/

+31534899174

k.a.e.wijlens@utwente.nl

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

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

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

University of Twente Drienerlolaan 5
7522 NB Enschede

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