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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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Machine learning-based predictive modeling of foodborne pathogens and antimicrobial resistance in food microbiomes using omics techniques: A systematic review

2025Food Research InternationalJournal

10.1016/j.foodres.2025.117255 Full text30 citations

Authors

7 authors across 3 institutions in 3 countries.

Charles Obinwanne OkoyeFirst authorCorresponding
Stanley Ebhohimhen Abhadiomhen
- University of Nigeria (NG)
Bonaventure Chidi Ezenwanne
- University of Nigeria (NG)
Xunfeng Chen
Huifang Jiang
Yanfang Wu
Jianxiong JiangSenior authorCorresponding

Fields

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

Metabolomics and Mass Spectrometry Studieslevel 3 · 0.98
Identification and Quantification in Foodlevel 3 · 0.98
Advanced Chemical Sensor Technologieslevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2025 · Food Research International · 30 citations
https://openalex.org/W4413044137

Machine learning-based predictive modeling of foodborne pathogens and antimicrobial resistance in food microbiomes using omics techniques: A systematic review · Sankore