Smartphone-Enabled Personalized Diagnostics: Current Status and Future Prospects

Other authors

Institut Català de la Salut

[Merazzo KJ, Totoricaguena-Gorriño J, Fernández-Martín E] Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain. [Del Campo FJ] Basque Center for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain. IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain. [Baldrich E] Grup de Recerca en Nananoeines de Diagnòstic, CIBBIM-Nanomedicina, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2022-04-06T12:34:52Z

2022-04-06T12:34:52Z

2021-06



Abstract

Biosensors; Mètodes moleculars; Diagnòstics basat en telèfons intel·ligents


Biosensores; Métodos moleculares; Diagnósticos basados en teléfonos inteligentes


Biosensors; Molecular methods; Smarthphone-based diagnostics


Smartphones are becoming increasingly versatile thanks to the wide variety of sensor and actuator systems packed in them. Mobile devices today go well beyond their original purpose as communication devices, and this enables important new applications, ranging from augmented reality to the Internet of Things. Personalized diagnostics is one of the areas where mobile devices can have the greatest impact. Hitherto, the camera and communication abilities of these devices have been barely exploited for point of care (POC) purposes. This short review covers the recent evolution of mobile devices in the area of POC diagnostics and puts forward some ideas that may facilitate the development of more advanced applications and devices in the area of personalized diagnostics. With this purpose, the potential exploitation of wireless power and actuation of sensors and biosensors using near field communication (NFC), the use of the screen as a light source for actuation and spectroscopic analysis, using the haptic module to enhance mass transport in micro volumes, and the use of magnetic sensors are discussed.


Financial support from the Basque Government under the ELKARTEK program is also acknowledged. EB is funded by Instituto de Salud Carlos III, cofinanced by the European Regional Development Fund (grant CPII18/00025).

Document Type

Article


Published version

Language

English

Publisher

MDPI

Related items

Diagnostics;11(6)

https://doi.org/10.3390/diagnostics11061067

info:eu-repo/grantAgreement/ES/PE2013-2016/CPII18%2F00025

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Rights

Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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