This website provides the most up-to-date pregnancy drug safety information
It includes the predictions of an AI-based pregnancy drug safety model
The full details are described in our paper
The objective of this study was to develop a novel interpretable and multimodal machine learning model for classifying pregnancy drug safety
☯ DrugBank ID - can be found at DrugBank.com
♦ Polifka et al. - Polifka, Janine E., et al. "Assessment of developmental risk information on medicines for inclusion on the WHO’s Essential Medicines List." International health 11.6 (2019): 513-519.
♣ Zerifin TIS (Tel Aviv University) - Data collected from the database of Zerifin TIS (Tel Aviv University), as recorded between the years 2002 and 2019; domain experts from Zerifin TIS (Teratology Information Services) used this information to label the safety of the drug found in the system.
☉ Eltonsy, Sherif, et al. "Systematic procedure for the classification of proven and potential teratogens for use in research." Birth Defects Research Part A: Clinical and Molecular Teratology 106.4 (2016): 285-297.
★ FDA category - FDA category, as collected from safefetus.com
♥ Risk score - Citation
Guy Shtar, Lior Rokach, Bracha Shapira, Elkana Kohn, Matitiahu Berkovitch, Maya Berlin, Explainable multimodal machine learning model for classifying pregnancy drug safety, Bioinformatics, 2021;, btab769, https://doi.org/10.1093/bioinformatics/btab769
The content of this website is intended for educational and scientific research purposes only.
The website is not a substitute for professional medical advice or diagnosis. Contact a health professional for any issues or questions you may have.