5 December 2019

These caregivers are at the forefront of renewing patient care and take the lead in the development and realization of the Radboud vision.


Appointed Principal Clinician RIHS 2020-2022:

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Related news items


First BeNeFit funding granted for psoriasis

17 January 2020

RIHS researchers Elke de Jong and Juul van den Reek of Dermatology Radboudumc and Dermatology Ghent receive grant of 1.6 million euros for investigating dose reduction of the newest biologics for psoriasis.

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The PRIDE Study Evaluation of online methods of data collection

16 January 2020

In Paediatric and Perinatal Epidemiology RIHS researchers Marleen van Gelder and Nel Roeleveld described the recruitment methods and online data collection within the PRIDE Study, the largest Dutch birth cohort study.

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Laparoscopy reduces the number of adhesions but it is still too high

14 January 2020

Adhesions after abdominal surgery cause too many re-admissions. Although keyhole surgery reduces the number of adhesions and the complications associated with them, the total disease burden remains high, as reported in The Lancet by RIHS researcher Richard ten Broek and colleagues.

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Radboud Talks 2020 scientific pitch competition

14 January 2020

The next edition of Radboud Talks will take place in the spring. During this academic pitch competition, young researchers will be given the opportunity to share their stories with a large audience. In a three-minute presentation, you will talk about your research in a fun and accessible manner.

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Review Sanne Frambach accepted by Pharmacological Reviews

13 January 2020

In this review entitled 'Brothers in arms: ABCA1 and ABCG1-mediated cholesterol efflux as promising targets in cardiovascular disease treatment', RIMLS researcher Sanne Frambach, describe the possibilities for stimulating cellular efflux.

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Prostate cancer can now be diagnosed better using artificial intelligence

9 January 2020

RIHS researchers Wouter Bulten and Geert Litjens have developed a ‘deep learning’ system that is better than most pathologists at determining the aggressiveness of prostate cancer. The Artificial Intelligence system taught itself to identify prostate cancer based on data from over 1200 patients.

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