Goals

  • To optimize breast cancer screening by developing and optimizing imaging technologies and optimizing the interpretation of images by both breast radiologists and AI methods.
  • To move from age-based to personalized risk-based breast cancer screening by developing new risk prediction models and personalizing screening-initiated follow-up.
  • To develop, evaluate, and validate new diagnostic imaging modalities for breast cancer diagnosis, lesion classification, and staging.
  • To personalize breast cancer treatment by testing and validating minimally invasive therapeutic options to decrease the burden of treatment and by developing and validating new imaging technologies to fully characterize tumor status before and during treatment.
  • We organize the Patient advisory board Women's Cancers.


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Research Research programs Breast cancer

Our purpose

We aim to gather and integrate information on each individual woman’s and the pathology’s characteristics to optimize the entire pathway of breast cancer care.

Goals

See some of the most important goals for this research program.

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Research groups contributing to this research program

Advanced x-ray imaging methods

Ioannis Sechopoulos's research group specializes in research on novel image acquisition, processing and analysis in diagnostic x-ray based imaging, particularly for breast and body computed tomography.

AI for precision medicine

Francesco Ciompi's research group focuses on precision medicine, investigating and developing artificial intelligence models to better understand diseases, discover novel biomarkers, and help physicians to improve their routine diagnostics and select the right treatments to help patients.

Breast imaging

Ritse Mann's research group has the prime ambition of beating breast cancer by better diagnosis and minimal invasive therapy. 

Spokesperson

dr. Ioannis Sechopoulos PhD

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Spokesperson

prof. dr. Mireille Broeders

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