Africa Machine Learning and Health Workshop

Workshop Goals

The main focus of the Africa Machine Learning (ML) and Health workshop is to help build capacity for ML / AI and health in Africa, while spotlighting African success stories in this space

Intended Audience

🧑‍🎓 Healthcare students:

• Medical, allied health, health science, biomedical engineering, bioinformatics, biomedical informatics, computational biology

• Looking for an introduction to ML / AI and healthcare

• Keen to get involved with institutional or independent research for ML / AI and healthcare in Africa

🩻 Healthcare academics:

• Principal investigator, post-doc, PhD, post-graduate researchers in healthcare

• Wanting to find ML / AI collaborators

• Interested in the better understanding the ML / AI research landscape in Africa

🏥 Healthcare industry professionals:

• Healthcare practitioners, start-ups, health data scientists, health insurance / funding, health policy and ethics practitioners, public health practitioners

• Interested in understanding the complexity of implementing and deploying ML / AI solutions for healthcare

• Looking for business opportunities for ML / AI and healthcare in Africa
  

Join us in celebrating machine learning (ML) / artificial intelligence (AI) research for health from researchers in Africa and connect with researchers working on problems related to health in Africa.

We provide a space for open dialogue about the state and potential of ML in Digital Health across Biomedical Informatics / Health Informatics, Bioinformatics and Mobile Health. Helping to identify issues for Africa in the Digital Health space that impact using machine learning as well as spotlighting success stories that provide important insights.

The SisonkeBiotik community aims to be an incubator for developing capacities for machine learning and digital health in Africa through open and participatory community action.