A predictive machine learning model for cannabinoid effect based on image detection of reactive oxygen species in microglia

• Patricia Sinclair,

  Roles Conceptualization, Data curation, Formal analysis, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Interdiscplinary Program in Neuroscience, George Mason University, Fairfax, Virginia, United Sates of America

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• William Jeffries,

  Roles Conceptualization, Methodology, Software, Writing – original draft

  Affiliation Bioinformatics and Computational Biology, George Mason University, Manassas, Virginia, United Sates of America

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• Nadege Lebert,

  Roles Formal analysis, Methodology

  Affiliation Interdiscplinary Program in Neuroscience, George Mason University, Fairfax, Virginia, United Sates of America

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• Maheen Saeed,

  Roles Formal analysis

  Affiliation Interdiscplinary Program in Neuroscience, George Mason University, Fairfax, Virginia, United Sates of America

  https://orcid.org/0009-0009-0385-7628

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• Aman Ullah,

  Roles Conceptualization, Formal analysis

  Affiliations Interdiscplinary Program in Neuroscience, George Mason University, Fairfax, Virginia, United Sates of America, Bioinformatics and Computational Biology, George Mason University, Manassas, Virginia, United Sates of America

  https://orcid.org/0009-0003-5591-0722

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• Nadine Kabbani

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

  * E-mail: nkabbani@gmu.edu

  Affiliations Interdiscplinary Program in Neuroscience, George Mason University, Fairfax, Virginia, United Sates of America, School of Systems Biology, George Mason University, Manassas, Virginia, United Sates of America

  https://orcid.org/0000-0001-5515-3782

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