Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics.

Journal: Metabolism: clinical and experimental
Published Date:

Abstract

No abstract available for this article.

Authors

  • Nikolaos Perakakis
    Department of Endocrinology, VA Boston Healthcare System, Jamaica Plain, Boston, MA 02130, USA; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
  • Alireza Yazdani
    Division of Applied Mathematics, Brown University, Providence, RI 02906, USA.
  • George E Karniadakis
    Division of Applied Mathematics, Brown University, Providence, RI 02906, USA.
  • Christos Mantzoros
    Department of Endocrinology, VA Boston Healthcare System, Jamaica Plain, Boston, MA 02130, USA; Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA. Electronic address: cmantzor@bidmc.harvard.edu.