Author

Houssem Hosni

La Rochelle UniversitéORCID 0000-0002-2519-9250Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Akpevweoghene Courage Edwin· 1 shared Andrew Mayor· 1 shared Angela Asuai· 1 shared Clive AsuaiiD· 1 shared Dennis Victory· 1 shared Ighere Arhokefe Merit· 1 shared Irene Alamarefa DebekemeiD· 1 shared Ishiekwene Ekeoma Destiny· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Akpevweoghene Courage Edwin

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1 paper

Recent·Most cited

MicrobiologybioRxivPreprintApr 3, 2026

Particle Swarm Optimization with Random Forest Surrogates Modelling for Rational Design of Antimicrobial Fluoride Toothpaste Formulations against Clinically Significant Oral Pathogens

Clive Asuai, Oscar Whiliki, Andrew Mayor…·Ishiekwene Ekeoma Destiny

This paper optimizes antimicrobial toothpaste formulations using Particle Swarm Optimization with Random Forest surrogates, improving efficacy against oral pathogens while balancing cost and safety.

DOI 10.64898/2026.04.02.716085

deep learningstatistical model

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