Supervised Machine Learning for Classification of the Electrophysiological Effects of Chronotropic Drugs on Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes

• Christopher Heylman,

  Affiliations Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States of America, Laboratory of Fluorescence Dynamics, University of California, Irvine, Irvine, CA, United States of America, Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California, Irvine, Irvine, CA, United States of America

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• Rupsa Datta,

  Affiliations Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States of America, Laboratory of Fluorescence Dynamics, University of California, Irvine, Irvine, CA, United States of America

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• Agua Sobrino,

  Affiliation Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America

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• Steven George ,

  Contributed equally to this work with: Steven George, Enrico Gratton

  Affiliations Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States of America, Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California, Irvine, Irvine, CA, United States of America, Department of Biomedical Engineering, Washington University in St. Louis. St. Louis, MO, United States of America

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• Enrico Gratton

  Contributed equally to this work with: Steven George, Enrico Gratton

  * E-mail: egratton@uci.edu

  Affiliations Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States of America, Laboratory of Fluorescence Dynamics, University of California, Irvine, Irvine, CA, United States of America

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