Spotlight on innovation: Google-sponsored Data Science for Health Ideathon across Africa

Generative AI is rapidly changing healthcare, opening up opportunities to better address real-world health challenges. Across the African continent, there is broad interest in tackling such challenges, ranging from cervical cancer screening to maternal health support.

With the above in mind, in collaboration with three pan-African data science and machine learning communities — SisonkeBiotik, Ro’ya, and DS-I Africa — we hosted an Africa-wide Data Science for Health Ideathon, focused on leveraging Google’s open Health AI models to tackle real-world health challenges.

From over 30 ambitious and technically rich submissions, six finalist teams were selected for their bold ideas, strong foundations, and potential for meaningful impact across African health systems. These teams received mentorship from global experts and technical resources provided by Google Research and Google DeepMind.

This reflects broad interest across the African continent on understanding how AI can be used to create local solutions to local priorities around health, agriculture and climate. This is part of Google’s broader initiatives on AI for Africa including in areas of health, education, food security, infrastructure and languages.

A new model for collaborative health innovation

An ideathon, much like a hackathon, is a platform for interdisciplinary teams to design solutions to crucial challenges, valuing the idea creativity as much as its execution.

The Ideathon was launched during the 2025 Data Science for Health in Africa Workshop at the Deep Learning Indaba, the gathering of Africa’s machine learning (ML) and AI community, dedicated to strengthening and celebrating African AI, which took place in Kigali, Rwanda. The Ideathon built on the shared vision of building capacity across African AI and health communities. Participants also had the opportunity at the workshop to attend a hands-on MedGemma tutorial led by Dr. Sekou Remy and Dr. Mercy Asiedu, research scientists at Google Research.