Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC) method

Date

2023-02

Advisors

Journal Title

Journal ISSN

ISSN

1618-727X

Volume Title

Publisher

Springer

Type

Article

Peer reviewed

Yes

Abstract

The recent pandemic showed that the current global research strategies on vaccine development necessitates more optimized supplementary techniques to observe instant progressive vaccines’ subtle effects on human metabolism, for better evolutionary assessments. To fill this gap, we have followed a multi-disciplinary approach exploiting AI, laser-optics, and a specific imaging method. The proposed technique is able to make progressive observations on Covid-19 Astra Zeneca vaccination effects on skin cellular network by use of the well-established technique - Intelligent Laser Speckle Classification (ILSC), as Covid-19 is a skin-affecting systemic disease. The method also managed to distinguish between three different subject groups via their laser speckle skin image samplings, grouped as: early-vaccinated, late-vaccinated and non-vaccinated participants. The results have proven that the ILSC technique, in association with the parametrically optimised Bayesian network, is capable of classifying hidden skin changes of vaccinated and non-vaccinated individuals up to 90% accuracy and is also capable of detecting instant (real-time) progressive developments pertaining to skin cellular properties.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

Skin cells, Covid-19 Vaccine, laser speckle imaging, Bayesian Nets

Citation

Orun, A. and Kurugollu, F. (2023) Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC) method. Journal of Digital Imaging,

Rights

Research Institute

Institute of Artificial Intelligence (IAI)