Developing an antenatal risk prediction model for preeclampsia with severe features using clinical and obstetric information. The case focuses attention on prediction evidence, clinical decision support and the conditions needed to integrate a digital model into antenatal care.

Suggested card fields: innovation name; principal investigator and institution; location; 40–60 word summary; approved image if available. The principal investigator is a project credit, not automatically the event representative. Do not add unverified impact statistics, adoption claims or Scale Award labels.

An interactive digital approach to maternal and child health self-risk assessment, information and support. The project explores how digital engagement can connect pregnant women, mothers and caregivers with health professionals, and what is required for adoption within service-delivery systems.

Training and equipping primary healthcare workers to identify birth defects early and connect affected newborns with further care. The approach links frontline screening, referral and health insurance, raising practical questions about workforce capability and integration into routine services.

A digital emergency transport and referral approach for pregnant women in underserved urban communities. MamaLink connects women, health workers and transport coordination, with the aim of improving access to emergency obstetric and newborn care. Its adoption questions include referral coordination, institutional ownership and sustainable delivery.

Exploring point-of-care biomarkers and targeted sequencing to support the identification and management of suspected neonatal sepsis in resource-constrained settings. The case brings questions of diagnostic evidence, clinical workflow and institutional adoption into the discussion.