A Predictive Computational Framework for Staphylococcus aureus Biofilm Growth Stages in Hydrodynamic Conditions.

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Bibliographic Details
Title: A Predictive Computational Framework for Staphylococcus aureus Biofilm Growth Stages in Hydrodynamic Conditions.
Authors: Shaikh S; Department of Chemical Engineering, Howard University, Washington, DC 20059, USA., Mekonnen A; Department of Chemical Engineering, Howard University, Washington, DC 20059, USA., Saleem AN; Department of Electrical Engineering and Computer Science, Howard University, Washington, DC 20059, USA., Ymele-Leki P; Department of Chemical Engineering, Howard University, Washington, DC 20059, USA.
Source: Pathogens (Basel, Switzerland) [Pathogens] 2026 Jan 21; Vol. 15 (1). Date of Electronic Publication: 2026 Jan 21.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101596317 Publication Model: Electronic Cited Medium: Internet ISSN: 2076-0817 (Electronic) Linking ISSN: 20760817 NLM ISO Abbreviation: Pathogens Subsets: MEDLINE
Database: MEDLINE Ultimate
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