College of Medicine and Health Sciences(CMHS)

High-Risk Pregnancy Prediction Platform

Our innovation consists of developing a web-based application that uses structured algorithms and later machine learning models, in the prediction of high-risk pregnancies. Our innovation aims at empowering primary health care professionals such as community health workers, nurses, and midwives, to detect pregnancies at high risk of causing maternal and/or fetal complications.

The ‘One Child, One Tree’ Project: Creating Children Forests to Promote Social Harmony and Tackle Climate Change

The proposed project ‘One Child, One Tree’ is a social innovation aimed at promoting social harmony and tackling climate change. Concretely, in two Umudugudus (in Kigali and Kayonza) +/- 600 children will be educated on the biology and culture of indigenous trees;they will get to select their own tree based on personal preference; and they will plant the tree in a dedicated area that will be named ‘Children’s Forest’