A collaboration of researchers from Aarhus University, University of Southern Denmark and the University of Copenhagen have published a nationwide population-based cohort study using Danish […]
Welcome
ENTIS is a global collaborative network of Teratology Information Services. Member organisations consist of medical doctors, pharmacists, genetic counsellors and scientists all working together with the primary aim of preventing birth defects and developmental disorders which arise as a consequence of maternal or paternal perinatal exposures.
ENTIS member organisations work in three core areas:
ENTIS collaborates with researchers from a range of academic, industry and patient representative organisations. If you are interested in working with ENTIS or in joining our network, please contact us.
Alternatively, click here to learn more about ENTIS.
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Latest Teratology Studies
Data published by TIS Berlin: Trends in first trimester antiseizure medication use and treatment patterns
Researchers from the Embryotox Center of Clinical Teratology and Drug Safety in Pregnancy (TIS Berlin) at the Institute of Clinical Pharmacology and Toxicology (Charité – […]
Acetaminophen, ADHD and ASD; a Clinical Perspective jointly published by the ENTIS-OTIS Scientific Committees
Members of the ENTIS and OTIS Scientific Committees, with with contributions from Michael Ceulemans (KU Leuven, Belgium) PhD student Erika Gram (University of Southern Denmark, […]
Latest data released from the German MS Pregnancy Registry
Researchers from the Department of Neurology at the St. Josef-Hospital in Bochum Germany, have published an updated dataset from the German Multiple Sclerosis Pregnancy Registry, […]
Large population-based study of first trimester tetracycline use and major congenital malformation risks
A collaborative of researchers from Karolinska Institutet (Stockholm, Sweden), Norwegian Institute of Public Health (Oslo, Norway) and Statens Serum Institut (Copenhagen, Denmark), have published a […]
Berlin TIS demonstrates the use of landmarking for the analysis of left-truncated competing risk data
Landmarking is a statistical methodology which may be able to serve as a an alternative to multistate modelling for the analysis of left-truncated competing risk […]