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Recent advances in biomedical, biosensor and clinical measurement devices for use in humans and the potential application of these technologies for the study of physiology and disease in wild animals

Authors :
Alexander MacDonald
Lucy A. Hawkes
Damion K. Corrigan
Source :
Philos Trans R Soc Lond B Biol Sci
Publication Year :
2021
Publisher :
The Royal Society, 2021.

Abstract

The goal of achieving enhanced diagnosis and continuous monitoring of human health has led to a vibrant, dynamic and well-funded field of research in medical sensing and biosensor technologies. The field has many sub-disciplines which focus on different aspects of sensor science; engaging engineers, chemists, biochemists and clinicians, often in interdisciplinary teams. The trends which dominate include the efforts to develop effective point of care tests and implantable/wearable technologies for early diagnosis and continuous monitoring. This review will outline the current state of the art in a number of relevant fields, including device engineering, chemistry, nanoscience and biomolecular detection, and suggest how these advances might be employed to develop effective systems for measuring physiology, detecting infection and monitoring biomarker status in wild animals. Special consideration is also given to the emerging threat of antimicrobial resistance and in the light of the current SARS-CoV-2 outbreak, zoonotic infections. Both of these areas involve significant crossover between animal and human health and are therefore well placed to seed technological developments with applicability to both human and animal health and, more generally, the reviewed technologies have significant potential to find use in the measurement of physiology in wild animals.This article is part of the theme issue ‘Measuring physiology in free-living animals (Part II)’.

Details

ISSN :
14712970 and 09628436
Volume :
376
Database :
OpenAIRE
Journal :
Philosophical Transactions of the Royal Society B: Biological Sciences
Accession number :
edsair.doi.dedup.....e9a2b288e08d69cac2d793fa9ca64eb0