Applied body-fluid analysis by wearable devices

Noé Brasier*, Joseph Wang, Wei Gao, Juliane R. Sempionatto, Can Dincer, H. Ceren Ates, Firat Güder, Selin Olenik, Ivo Schauwecker, Dietmar Schaffarczyk, Effy Vayena, Nicole Ritz, Maja Weisser, Sally Mtenga, Roozbeh Ghaffari, John A. Rogers, Jörg Goldhahn

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Wearable sensors are a recent paradigm in healthcare, enabling continuous, decentralized, and non- or minimally invasive monitoring of health and disease. Continuous measurements yield information-rich time series of physiological data that are holistic and clinically meaningful. Although most wearable sensors were initially restricted to biophysical measurements, the next generation of wearable devices is now emerging that enable biochemical monitoring of both small and large molecules in a variety of body fluids, such as sweat, breath, saliva, tears and interstitial fluid. Rapidly evolving data analysis and decision-making technologies through artificial intelligence has accelerated the application of wearables around the world. Although recent pilot trials have demonstrated the clinical applicability of these wearable devices, their widespread adoption will require large-scale validation across various conditions, ethical consideration and sociocultural acceptance. Successful translation of wearable devices from laboratory prototypes into clinical tools will further require a comprehensive transitional environment involving all stakeholders. The wearable device platforms must gain acceptance among different user groups, add clinical value for various medical indications, be eligible for reimbursements and contribute to public health initiatives. In this Perspective, we review state-of-the-art wearable devices for body-fluid analysis and their translation into clinical applications, and provide insight into their clinical purpose.

Original languageEnglish (US)
Article number1823
Pages (from-to)57-68
Number of pages12
JournalNature
Volume636
Issue number8041
DOIs
StatePublished - Dec 5 2024

Funding

N.B. acknowledges an Early-career Fellowship from Collegium Helveticum, Zurich (CH) and a MedLab Fellowship from ETH Zurich (CH). C.D. acknowledges the OrChESTRA project from the European Union\u2019s Horizon Europe\u2019s research and innovation programme under grant agreement number 101079473. The language editing was conducted by A. Curtis.

ASJC Scopus subject areas

  • General

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