book chapter · Studies in health technology and informatics
Sub-Saharan Africa suffers devastating animal health losses exceeding $20 billion each year. By combining metagenomics with artificial intelligence (AI), a promising path emerges for faster diagnostics and proactive disease prediction. Our PRISMA-guided review of 1,225 studies reveals that metagenomics achieves 94.2% diagnostic sensitivity (compared to 67.3% with conventional methods), while AI dramatically shortens turnaround from 48-72h to just 4-8h, offering a valuable 14-18 day early warning window for epizootics.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3233/shti260622
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.