Sustainable integration of artificial intelligence and machine learning approaches within the African infectious disease vaccine research and development ecosystem
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 applica...
Saved in:
| Main Authors: | Jonathan Hare, Morten Nielsen, Agnes Kiragga, Daniel Ochiel |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-12-01
|
| Series: | Frontiers in Pharmacology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2024.1499079/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
African vaccine manufacturing – The ecosystem and the Initiative
by: Tolu Disu, et al.
Published: (2024-08-01) -
The BRILLIANT HIV Vaccine Consortium: Unfunded but not undone
by: Linda-Gail Bekker, et al.
Published: (2025-05-01) -
Artificial intelligence-based epitope discovery of Mpox virus: Rational vaccine design
by: Adane Adugna, et al.
Published: (2025-08-01) -
Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics—yesterday, today, and tomorrow
by: Elhoucine Elfatimi, et al.
Published: (2025-07-01) -
Mpox vaccination hesitancy, previous immunisation coverage, and vaccination readiness in the African region: a multinational surveyResearch in context
by: Min Du, et al.
Published: (2025-02-01)