Machine Learning–Based First-Trimester Antenatal Risk Prediction for Adverse Maternal and Neonatal Outcomes: Multicenter Model Development Study
Sarah Li, David Y Y Tan, Jingxian Zhang, Aniza P Mahyuddin, Harshaana Ramlal, Sebastian E Illanes, Max Monckeberg, Alejandra F Plaza, Maria L Paz Morgan, Matthew W Kemp, Kee Yuan Ngiam, Peter Lindgren, Marius Kublickas, Karolina Kublickiene, Ruifen Weng, Sidney Yee, Mahesh Choolani · 2026
Read Machine Learning–Based First-Trimester Antenatal Risk Prediction for Adverse Maternal and Neonatal Outcomes: Multicenter Model Development Study by Sarah Li, David Y Y Tan, Jingxian Zhang, Aniza P Mahyuddin, Harshaana Ramlal, Sebastian E Illanes, Max Monckeberg, Alejandra F Plaza, Maria L Paz Morgan, Matthew W Kemp, Kee Yuan Ngiam, Peter Lindgren, Marius Kublickas, Karolina Kublickiene, Ruifen Weng, Sidney Yee, Mahesh Choolani (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13519590.txt.
Description
Serious harm in pregnancy still falls unevenly across the world, and the risk tools clinics use lean on rough rules. Sarah Li and co-authors build data-driven models in a 2026 study that flag risk in the first trimester. Their data cover more than seven hundred thousand pregnancies in Sweden, Chile, and Singapore.
Each country got its own machine learning model, trained only on facts known by fourteen weeks of pregnancy. The models predict a combined outcome covering harm to mother or newborn. The team checked the models inside each population and set their scores against standard clinical risk checks. Early, fair flags could steer extra care to the mothers and babies who need it most.
Catalog record
| CREATOR | Sarah Li, David Y Y Tan, Jingxian Zhang, Aniza P Mahyuddin, Harshaana Ramlal, Sebastian E Illanes, Max Monckeberg, Alejandra F Plaza, Maria L Paz Morgan, Matthew W Kemp, Kee Yuan Ngiam, Peter Lindgren, Marius Kublickas, Karolina Kublickiene, Ruifen Weng, Sidney Yee, Mahesh Choolani |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |