Topic: Maternal health

Explore how digital health and AI can improve health systems across Africa. The programme examines safe and trustworthy clinical AI, interoperable health data, digital public-health surveillance, and the translation of research into care. Sessions address maternal and youth mental health, primary-care capacity, workforce development, health-data governance and financing sustainable implementation. A session led by Morris Nguyen of Predicate AI Labs examines physiological intelligence for earlier neonatal sepsis detection, on 30 September from 14:00 to 15:00 in MH2B. The wider programme combin

Fund pilot studies and early research addressing public-health priorities, including infectious disease, AI diagnostics, digital health, cancer, maternal health, mental health and healthy ageing. Proposals should generate evidence useful for health policy and practice. Submit the English EOI, budget and investigator CVs together as one PDF by 2 October 2026, 18:00 EAT. The linked Google submission form requires sign-in.

Historically pregnant women and their unborn baby have been amongst those with the poorest outcomes in previous epidemics, most notably the Zika virus. For much of 2020, with the emergence of the novel coronavirus, the effect on the fetus remains unclear. While initial reports suggest that vertical transmission with SARS-CoV2 is reassuringly rare, the complex socioeconomic, domestic and broader maternal lifestyle factors which can influence a child’s lifelong well-being have been modulated during the experience of this pandemic. The developing brain is particularly susceptible to maternal stre