Editorial: Mechanistic, machine learning and hybrid models of the "other" endocrine regulatory systems in health & disease

Joseph DiStefano 3rd; Fady Hannah-Shmouni; Frédérique Clément

doi:10.3389/fendo.2023.1104746

Editorial: Mechanistic, machine learning and hybrid models of the "other" endocrine regulatory systems in health & disease

Front Endocrinol (Lausanne). 2023 Jan 23:14:1104746. doi: 10.3389/fendo.2023.1104746. eCollection 2023.

Authors

Joseph DiStefano 3rd¹, Fady Hannah-Shmouni², Frédérique Clément³

Affiliations

¹ Computer Science & Medicine Samueli School of Engineering and Applied Science Engineering VI, UCLA, Los Angeles, CA, United States.
² Division of Endocrinology, University of British Columbia, Vancouver, BC, Canada.
³ Université Paris-Saclay, Inria Centre de recherche lnria de Saclay, Palaiseau, France.

No abstract available

Keywords: adrenal regulation modeling; artificial neural network model; gonad system models; hybrid mechanistic-machine learning model; machine learning model; mechanistic model; models for optimizing therapy; thyroid hormone regulation modeling.

Publication types

Editorial

MeSH terms

Machine Learning*
Neural Networks, Computer*