Harnessing data science for health discovery and innovation in Africa (DS-I Africa)

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Authors: Chenfeng Xiong, Joyce Nakatumba Nabende, Michelle Skelton, Gaone Retshabile, Ambroise Wonkam, Anna Winters, David Patrick Kateete, Donrich Willem Thaldar, Francis Edem Agamah, Kofi Amegah, Nchangwi Syntia Munung, Nicola Mulder
+4 more Rolanda Julius, Rumi Chunara, Segun Fatumo, Mayowa Ojo Owolabi
Cited by: 0
References: 10

Abstract

The integration of data science and artificial intelligence approaches, through multidisciplinary collaboration, is set to advance health research in Africa. Here, we describe the Harnessing Data Science for Health Discovery and Innovation in Africa-funded effort for enhancing healthcare delivery, disease surveillance, predictive modelling, capacity building and research innovation across Africa and globally. Xiong et al. discuss the Data Science for Health Discovery and Innovation in Africa, a US-Africa partnership aiming to transform health via innovative data science. Achievements to date include 38 projects in 22 African countries, an open FAIR data ecosystem, and AI tools for disease management and pandemic preparedness.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Global Health and Epidemiology

Publication details

Journal / source
Communications Medicine
Volume
6
Issue
1
Publication date
28 February 2026
Language
EN