Guiding the surgeon real-time tumor visualization during surgery26 February 2020
Incomplete excision of tumor tissue negatively affects the prognosis of the patient. RIHS researcher Mark Rijpkema and colleagues are working on the development of new dual-labeled tracers and currently are implementing this into the clinic.
RIMLS PhD retreat registration is open23 January 2020
Yearly, RIMLS PhD candidates gather for the two-day PhD Retreat. Apart from the science, this event is highly valued for the opportunity to meet and get to know fellow PhD candidates during the social activities. Early bird registration and abstract submission deadline: 4 March 2020.
Supplemental MRI screening for women with extremely dense breast tissue9 January 2020
In the New England Journal of Medicine, the DENSE trial study group including RIHS researchers Ritse Mann and Nico Karssemeijer showed that additional MRI after the nationwide breast screening, reduces interval breast cancer in women with extremely dense breast tissue.
Synopsis of the European Breast Guidelines on organized breast cancer screening programs19 December 2019
In Annals of internal medicine Mireille Broeders and colleagues from the European Commission Initiative on Breast Cancer (ECIBC) Guidelines Development Group provide a synopsis of recommendations on organized breast cancer screening programs for women aged 40 to 75 years.
Awarded KWF grants for Radboudumc researchers18 December 2019
KWF is investing 2.7 million euros in five different studies at Radboudumc. The awards are part of the new round of funding by DCS, in which over 34 million euros will be granted to Dutch cancer research. We congratulate our researchers with this funding and wish them success with their great work.
Exploration meeting Academic Alliance on Oncology2 December 2019
Within the Academic Alliance, the Maastricht UMC+ and Radboudumc are already working together in several areas. And this is happening in more and more fields. On 27 November researchers from both umc's met during the fourth Exploration meeting, this time with the theme: Oncology.
Technology for Oncology II grant application funded21 November 2019
The grant application called "aiREAD – Accurate and Intelligent Reading for EArlier breast cancer Detection” by project leader Ioannis Sechopoulos, has been selected for funding under the NWO TTW – KWF Kankerbestrijding – Top Sector LSH Partnership “Technology for Oncology II”.
3D breast ultrasound elastography to improve breast cancer detection5 November 2019
One out of seven women will be diagnosed with breast cancer during their life. Early detection of breast cancer is important to increase the survival rate. Gijs Hendriks graduated recently on a new technique, 3D elastography, to detect breast cancer better.
KWF Roadshow 11 November 201910 October 2019
In which way(s) can KWF provide optimal support to oncological research and care? How can we maximize impact on our investments? These questions are pivotal in Ambition 2030: the vision that KWF developed in close cooperation with stakeholders in the oncological field.
RIMLS 25 years jubilee festival The Future is Yesterday3 October 2019
Together with more than 250 colleagues and alumni we celebrated 25 years of research into the molecular mechanisms of disease. During this exciting and informal event, we not only took a trip down memory lane, but also looked ahead to the next 25 years and beyond…...
Artificial intelligence for renal tissue assessment16 September 2019
Meyke Hermsen and Jeroen van der Laak, present an alternative approach, featuring a convolutional neural network for multi-class segmentation of periodic acid–Schiff-stained kidney tissue sections. Their work was published in the Journal of the American Society of Nephrology.
European Commission Initiative on Breast Cancer (ECIBC) Guidelines13 August 2019
In Annals of internal medicine Mireille Broeders and colleagues from the ECIBC Guidelines Development Group described the methods used to develop person-centered evidence-based recommendations for screening and diagnosis of breast cancer.
Universal tumor BRCA1/2 testing of ovarian cancer13 May 2019
Marjolijn Ligtenberg, Janet Vos and Nicoline Hoogerbrugge, assessed the feasibility of a workflow for universal tumor DNA BRCA1/2 testing of all newly diagnosed OC patients as prescreen for PARPi treatment and cancer predisposition testing. They have published their findings in the JNCI.
Artificial intelligence vs. 101 radiologists for breast cancer detection7 March 2019
In an article appearing in the journal of the National Cancer Institute, Ioannis Sechopoulos and colleagues showed that current artificial intelligence systems can detect breast cancer in mammograms as well as a breast radiologists.
Determinants for variation in Integrated Head and Neck Cancer7 February 2019
In National Comprehensive Cancer Network Lydia van Overveld and Rosella Hermens described the quality of current integrated head and neck cancer care using evidence-based quality indicators, the variation between Dutch hospitals, and the influence of patient and hospital characteristics.
Report of the 12th New Frontiers symposium Big data, better healthcare? - 1 November 20187 November 2018
Examples from the application of deep learning to image reading in pathology and radiology and the application of network medicine to monitor infectious disease outbreaks or collective mood states using twitter data showed the huge potential of big data approaches for building better healthcare.
Report of the 12th New Frontiers symposium Better care, network care? - 2 November 20187 November 2018
No easy answers at this symposium last Friday, only challenges that can be overcome if we succeed in 5 things. First and most radically, put patients in the center of healthcare. Second, start with assessing what the local population needs and not what local professionals have to offer.
Deep learning identifies tumor-associated stroma in breast histopathology26 June 2018
According to a recent paper of Babak Ehteshami Bejnordi, Jeroen van der Laak and colleagues, deep learning based analysis of digitized microscopic images could accurately identify tumor-associated morphological alterations in the stroma neighboring breast cancer.