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, Dennis Victory, Angela Asuai, Omonigho Imarah, Irene Alamarefa Debekeme, Ighere Arhokefe Merit, Houssem Hosni, Maria Khan, Akpevweoghene Courage Edwin, 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.
bioRxiv · Apr 3, 2026 · PreprintMicrobiology