Sustainable integration of artificial intelligence and machine learning approaches within the African infectious disease vaccine research and development ecosystem.

Journal: Frontiers in pharmacology
Published Date: Dec 17, 2024

Abstract

Artificial Intelligence and Machine Learning (AI/ML) techniques, including reverse vaccinology and predictive models, have already been applied for developing vaccine candidates for COVID-19, HIV, and Hepatitis, streamlining the vaccine development lifecycle from discovery to deployment. The application of AI and ML technologies for improving heath interventions, including drug discovery and clinical development, are expanding across Africa, particularly in South Africa, Kenya, and Nigeria. Further initiatives are required however to expand AI/ML capabilities across the continent to ensure the development of a sustainable ecosystem including enhancing the requisite knowledge base, fostering collaboration between stakeholders, ensuring robust regulatory and ethical frameworks and investment in requisite infrastructure.

Authors

  • Jonathan Hare
    Biolife Research Limited, Nairobi, Kenya.
  • Morten Nielsen
    Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
  • Agnes Kiragga
    Data Science Program, Africa Population Health Centre, Nairobi, Kenya.
  • Daniel Ochiel
    Henry Jackson Foundation Medical Research International, Nairobi, Kenya.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals