Author

Monica N. Mweetwa

University of LusakaORCID 0000-0003-2679-3697Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:metagenomics· 2 Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Joram Matthias PosmaiD· 2 shared Antoine D. LainiD· 1 shared Avish VijayaraghavaniD· 1 shared Devanshi Patel· 1 shared Meiqi WangiD· 1 shared Nazanin Faghih-Mirzaei· 1 shared Paul M. KellyiD· 1 shared Tim BeckiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

Joram Matthias PosmaORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedJun 18, 2026

Microbial Named Entity Recognition and Normalisation for AI-assisted Literature Review and Meta-Analysis

Devanshi Patel, Antoine D. Lain, Avish Vijayaraghavan…·Joram Matthias Posma

The paper develops deep learning models for microbial named entity recognition and normalization to accelerate literature review and meta-analysis of microbiome studies.

2 citations

proteomicsmetagenomics

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GenomicsPhilosophical Transactions of the Royal Society B Biological SciencesPeer-reviewedMay 14, 2026

A META-ANALYSIS OF GUT MICROBIOME RESEARCH IN MALNOURISHED AFRICAN POPULATIONS: A NATURAL LANGUAGE PROCESSING APPROACH

Monica N. Mweetwa, Paul M. Kelly, Joram Matthias Posma

This paper uses NLP to analyze gut microbiome studies in malnourished African children, identifying microbial signatures and associations with malnutrition.

1 citation

humanmetagenomics

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