Journal Pre-proof Near-optimal Insulin Treatment for Diabetes Patients: A machine learning approach Mark Shifrin, Hava Siegelmann PII: S0933-3657(19)30564-0 DOI: https://doi.org/10.1016/j.artmed.2020.101917 Reference: ARTMED 101917 To appear in: Artiﬁcial Intelligence In Medicine Received Date: 15 July 2019 Revised Date: 17 June 2020 Accepted Date: 23 June 2020 Please cite this article as: Mark Shifrin, Hava Siegelmann, Near-optimal Insulin Treatment for Diabetes Patients: A machine learning approach, <![CDATA[Artiﬁcial Intelligence In Medicine]]> (2020), doi: https://doi.org/ This is a PDF ﬁle of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the deﬁnitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its ﬁnal form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier.