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Paul Wieringa (MERLN) ontwikkelt innovatieve modellen om eileiders en endometriose te onderzoeken.

"Combining In formation: Model Selection in Meta-Analysis and Methods for Combining Correlated p-Values"

"Combining In formation: Model Selection in Meta-Analysis and Methods for Combining Correlated p-Values"

Paul Wieringa (MERLN) works on innovative models to study endometriosis and the fallopian tube.

Onderzoekers van het MERLN Institute en het Hubrecht Institute (KNAW) zijn erin geslaagd embryo-achtige structuren in het laboratorium op te kweken uit muizenstamcellen. Voor het eerst vertonen deze modelembryo’s zoveel gelijkenis met natuurlijke embryo’s dat ze kunnen innestelen in de baarmoeder en...

The workshop aims to create a multidisciplinary platform to address how metabolic modelling can answer important scientific questions and contribute to applications in disease, nutrition, and drug metabolism and what needs to be done to achieve this.

Researchers throughout academia, industry, and government are generating data at scales and levels of complexity far beyond what could previously have been imagined. Complex data demand statistical models that are sufficiently flexible to adapt to meaningful, underlying signals, allowing scientists to...

Prediction models for the coronavirus (COVID-19) are being developed worldwide: who runs a greater risk of getting it, which patients with symptoms actually have the virus, and what characteristics and test results are key to determining the progression of the disease? An international study of 31...

Researcher Laure Wynants of Maastricht University is concerned about the present situation. Together with a group of international researchers, she assessed all previously available prediction models for the early detection and progression of COVID-19. ‘Most prediction models are currently not...

Wat we nu waarnemen toont overeenkomsten met het nieuwe Turkse en het Russische presidentieel model. ^{(Engelstalige blog)}