Machine Learning Approaches to Engineer Nanoantibiotics for Treating Infections in Immunocompromised Patients

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Machine Learning Approaches to Engineer Nanoantibiotics for Treating Infections in Immunocompromised Patients
Authors:-Bhagya S

Abstract-:Microorganisms interact with their environment across multiple scales, ranging from molecular interactions to population dynamics. In the presence of nanostructures, the complexity of these interactions increases, as nanomaterials possess the unique ability to alter microbial behavior at both the cellular and molecular levels. Their applications are vast, spanning antimicrobial coatings, medical devices, biosensors, and bioremediation technologies. Despite these advancements, the exact mechanisms by which nanostructures influence microbial behavior, including biofilm formation, antibiotic resistance, and metabolic activity, are not fully understood. The integration of multiscale modeling, which combines molecular dynamics simulations with population-level models, holds significant promise in unraveling these complexities. This paper explores the interaction of microorganisms with nanomaterials, the role of multiscale modeling, and the potential applications in healthcare, biotechnology, and environmental science.

DOI: 10.61137/ijsret.vol.11.issue2.436

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