Editorial: Mechanistic, machine learning and hybrid models of the 'other' endocrine regulatory systems in health and disease, volume II

Joseph DiStefano 3rd; Johannes W Dietrich; Uri Alon

doi:10.3389/fendo.2026.1806508

Editorial: Mechanistic, machine learning and hybrid models of the 'other' endocrine regulatory systems in health and disease, volume II

Front Endocrinol (Lausanne). 2026 Mar 3:17:1806508. doi: 10.3389/fendo.2026.1806508. eCollection 2026.

Authors

Joseph DiStefano 3rd¹, Johannes W Dietrich^{2

3

4

5}, Uri Alon⁶

Affiliations

¹ Departments of Computer Science and Medicine, University of California at Los Angeles, Los Angeles, CA, United States.
² Diabetes, Endocrinology and Metabolism Section, Department of Internal Medicine I, St. Josef University Hospital, Ruhr University Bochum, Bochum, Germany.
³ Diabetes Centre Bochum/Hattingen, Klinik Blankenstein, Hattingen, Germany.
⁴ Centre for Rare Endocrine Diseases, Ruhr Centre for Rare Diseases (CeSER), Ruhr University Bochum and Witten/Herdecke University, Bochum, Germany.
⁵ Centre for Diabetes Technology, Catholic Hospitals Bochum, Ruhr University Bochum, Bochum, Germany.
⁶ Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.

No abstract available

Keywords: computer simulation; hybrid mechanistic-machine learning model; machine learning model; mathematical modelling; mechanistic model; stress hyperglycemia; thyroid; uric acid.

Publication types

Editorial