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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Artificial Intelligence for Physiologically Informed Precision Care in Sickle Cell Disease: Diagnosis, Risk Prediction, Personalised Treatment and Equitable Implementation

2026Journal of Medicine and Health ResearchJournalOpen access

10.56557/jomahr/2026/v11i211065 Full text0 citations

Authors

5 authors across 4 institutions in 2 countries.

Ogboh Rita OnyebuchiFirst author
- Niger Delta University (NG)
Miracle Anike Olawuyi
Nitebhar Ikpokpo
- Niger Delta University (NG)
Damilola Alabi
Okechukwu Oluchi ChiomaSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Hemoglobinopathies and Related Disorderslevel 3 · 0.99
Artificial Intelligence in Healthcare and Educationlevel 3 · 0.00
Blood groups and transfusionlevel 3 · 0.00

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · Journal of Medicine and Health Research · 0 citations
https://openalex.org/W7207543513

Artificial Intelligence for Physiologically Informed Precision Care in Sickle Cell Disease: Diagnosis, Risk Prediction, Personalised Treatment and Equitable Implementation · Sankore