@Article{info:doi/10.2196/35675,
author="Mulder, Skander Tahar
and Omidvari, Amir-Houshang
and Rueten-Budde, Anja J
and Huang, Pei-Hua
and Kim, Ki-Hun
and Bais, Babette
and Rousian, Melek
and Hai, Rihan
and Akgun, Can
and van Lennep, Jeanine Roeters
and Willemsen, Sten
and Rijnbeek, Peter R
and Tax, David MJ
and Reinders, Marcel
and Boersma, Eric
and Rizopoulos, Dimitris
and Visch, Valentijn
and Steegers-Theunissen, R{\'e}gine",
title="Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course",
journal="J Med Internet Res",
year="2022",
month="Sep",
day="14",
volume="24",
number="9",
pages="e35675",
keywords="digital health; digital twin; machine learning; artifical intelligence; obstetrics; cardiovascular; disease; health",
issn="1438-8871",
doi="10.2196/35675",
url="https://www.jmir.org/2022/9/e35675",
url="https://doi.org/10.2196/35675",
url="http://www.ncbi.nlm.nih.gov/pubmed/36103220"
}