This research develops an ultra-low-power, battery-free newborn monitoring system for under-resourced hospitals. Using on-device artificial intelligence and energy harvesting, it continuously detects signs of distress while protecting patient privacy. The technology aims to support overstretched nurses, enable earlier intervention, and reduce preventable newborn deaths worldwide.

This research addresses the lack of psychological support for bereaved parents in low-resource settings. After reviewing global evidence and consulting experts and parents, it aims to develop a culturally appropriate, community-based intervention in Malawi. The goal is scalable, evidence-based support integrated into health systems to reduce mental health risks after pregnancy and neonatal loss.