SP 2.1.4 - Mathematical Modelling at the Interface of Digital Endocrinology and Wearable Sensing Technologies

Event

EUROSENSORS 2026
2026-09-06 - 2026-09-09
Zurich

Band

Lectures

Chapter

Continuous Health Monitoring in Medicine

Author(s)

B. Lombard - University of Birmingham,Birmingham (United Kingdom), T. Upton, S. L. Lightman - University of Bristol,Bristol (United Kingdom), E. Zavala - University of Manchester,Manchester (United Kingdom)

Pages

295 - 296

DOI

10.5162/eurosensors2026/SP2.1.4

ISBN

978-3-910600-12-6

Price

free

Abstract

Mathematical models are essential tools for fundamental understanding of hormonal dynamics within the Hypothalamic-Pituitary-Adrenal axis. Novel hormonal biosensing technologies from interstitial fluid require validating their dynamic fidelity against high resolution serum profiles. Computational methods can integrate our mathematical understanding of endocrine systems with multimodal wearable device datasets to quantify individual variability. This can help identify reliable proxies of endocrine function for precision medicine applications.