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Editorial
. 2023 Feb 9;7(2):210-215.
doi: 10.7150/ntno.81485. eCollection 2023.

Personalized biosensors for point-of-care diagnostics: from bench to bedside applications

Affiliations
Editorial

Personalized biosensors for point-of-care diagnostics: from bench to bedside applications

Pranjal Chandra. Nanotheranostics. .

Abstract

The most significant feature of translational point-of-care technology "Personalized biosensors" is that it can be done quickly and by clinical staff who are not trained in clinical laboratory sciences. Rapid test results can quickly give a doctor or other medical worker answers that can help them decide what to do or how to treat a patient. This is helpful almost everywhere, from the emergency room to a patient getting care at home. When a doctor meets a patient for the first time, during a flare-up of a known problem or when a new symptom shows up in a patient who is already being treated, having faster access to test results gives the doctor answers when they are with the patient or are about to see the patient which indicate the importance of point-of-care technologies and their future scope.

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Conflict of interest statement

Competing Interests: The author has declared that no competing interest exists.

Figures

Figure 1
Figure 1
Schematic representation of the point-of-care ALP biosensor fabrication and detection principle (Reused with permission from 24).
Figure 2
Figure 2
Schematic representation of the fabrication of the creatinine sensing device. (A) Illustration of the step-by-step fabrication of the sensor probe and the proposed colorimetric sensing device, (B) Specified dimension of the internalized segments of the device construction, optimized for image capturing and processing, (C) Graphical impression of the developed prototyped device, (D) Real time analysis and image processing through the developed system obtaining reading for creatinine detection (Reused from , the work is licensed under a Creative Commons Attribution 4.0 International License)

References

    1. World Health Organization. WHO | Global Health Estimates. Vol. Multimedia, Global Health Estimates. 2014.
    1. Snyderman R. Personalized health care: From theory to practice. Vol. 7, Biotechnology Journal. 2012. - PubMed
    1. Chandra P, Tan YN, Singh SP. Next generation point-of-care biomedical sensors technologies for cancer diagnosis. Next Generation Point-of-care Biomedical Sensors Technologies for Cancer Diagnosis. 2017.
    1. Purohit B, Kumar A, Mahato K, Chandra P. Electrodeposition of Metallic Nanostructures for Biosensing Applications in Health Care. J Sci Res. 2020.
    1. Chandra P. Nanobiosensors for personalized and onsite biomedical diagnosis. Nanobiosensors for Personalized and Onsite Biomedical Diagnosis. 2016.

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