In collaboration with the University of Michigan, BMI leads the mental health component of the UtiliZing Health Information for Meaningful Impact in East Africa through Data Science (UZIMA-DS) Research Hub, a pioneering initiative leveraging data science to address mental health challenges in Kenya.
Supported by a five-year U-54 grant from the National Institute of Health (NIH), the UZIMA-DS study aims to overcome analytical and computational obstacles hindering the utilization of data science advancements in healthcare transformation at both community and individual levels.
BMI spearheads the mental health component, concentrating on AI/ML-based prediction models for identifying depression and suicide ideation risk among adolescents, youth, and healthcare workers in Kenya. By employing state-of-the-art mobile infrastructure and longitudinal surveillance data, BMI is facilitating a data-centric approach to mental wellness, enabling proactive identification and support for individuals at risk across various demographics, from adolescents to healthcare workers.
