Artificial intelligence may offer insight into factors determining individual TSH level

• Prasanna Santhanam ,

  Contributed equally to this work with: Prasanna Santhanam, Tanmay Nath, Faiz Khan Mohammad, Rexford S. Ahima

  Roles Conceptualization, Investigation, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: psantha1@jhmi.edu

  Affiliation Division of Endocrinology, Diabetes, & Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America

  http://orcid.org/0000-0003-4822-2705

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• Tanmay Nath ,

  Contributed equally to this work with: Prasanna Santhanam, Tanmay Nath, Faiz Khan Mohammad, Rexford S. Ahima

  Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing

  Affiliation Department of Biostatistics, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America

  http://orcid.org/0000-0002-2092-7159

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• Faiz Khan Mohammad ,

  Contributed equally to this work with: Prasanna Santhanam, Tanmay Nath, Faiz Khan Mohammad, Rexford S. Ahima

  Roles Formal analysis, Software, Validation

  Affiliation Department of Chemical Engineering, Indian Institute of Technology, Madras, India

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• Rexford S. Ahima

  Contributed equally to this work with: Prasanna Santhanam, Tanmay Nath, Faiz Khan Mohammad, Rexford S. Ahima

  Roles Project administration, Resources, Supervision

  Affiliation Division of Endocrinology, Diabetes, & Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America

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