Our Research Highlights
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Lessons from the past to improve future health: the Dutch famine birth cohort study
A disaster created an opportunity to investigate the effects of undernutrition during the earliest stages of human development on later health and wellbeing.
Amsterdam Reproduction & DevelopmentOngoing
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TRIDENT studies: Implementing Non-Invasive Prenatal Testing (NIPT) in the Netherlands
Non-invasive prenatal testing (NIPT) for fetal aneuploidy such as Down syndrome has rapidly transformed the global prenatal screening landscape.
Amsterdam Reproduction & DevelopmentOngoing
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From fundamental research to clinical trial in two years – the Cancer Center Amsterdam way
An example of how the multidisciplinary environment at Cancer Center Amsterdam allows rapid translation of fundamental science to clinical applications.
Cancer Center AmsterdamOngoing
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Development of machine learning prediction models on long term cognitive and motor outcome of preterm born children
Long term outcome prediction in preterm children is impossible or inaccurate. To improve this we develop a prediction model with machine learning techniques.
Amsterdam Reproduction & DevelopmentOngoing
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Patient-tailored Glucocorticoid Treatment to Prevent Bronchopulmonary Dysplasia and Enhance Neurodevelopmental Outcome in Very Preterm Infants
Should a very preterm infants be treated with corticosteroids? We aim to develop an innovation prediction model for bronchopulmonary dysplasia.
Amsterdam Reproduction & DevelopmentOngoing
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The IMPROVE trial: Cervical cancer screening in the Netherlands gets a boost
Self-sampling in cervical cancer screening proved to be as accurate as clinician-based sampling and can boost participation in the national screening program.
Cancer Center AmsterdamOngoing
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Causes of twinning in humans
What causes women to have twin (or higher-order multiple birth) pregnancies? To answer we need to distinguish between identical and fraternal twin pregnancies.
Amsterdam Reproduction & DevelopmentOngoing
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Radiomics and machine learning for response prediction in Diffuse Large B-Cell Lymphoma patients using advanced medical imaging technologies
Radiomics technology extracts a large number of features from medical imaging to predict treatment response.
Cancer Center AmsterdamOngoing
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Training Network for Optimizing Adoptive T Cell Therapy of Cancer (T-OP)
The clinical implementation of immunotherapeutics has established T cells as efficient anti-cancer weapons.
Cancer Center AmsterdamOngoing
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Germline biomarkers of melanoma immunotherapy: an international consortium
Biomarkers that predict immunotherapy treatment success or risk of toxicity are urgently needed to increase the clinical benefit for metastatic melanoma patients.
Cancer Center AmsterdamOngoing