To manage long COVID by selective SARS-CoV-2 infection biosensing

Schematic presentation of the status of the COVID-19 pandemic and recommendations on the development of sensitive smart SARS-CoV-2 sensing platforms using a combinatory approach on biosensors supported with internet-of-medical-things (IoMT) and artificial intelligence (AI).

SARS-CoV-2 mutations based on COVID-19 infection is studied mainly considering acute effects including 108 multiple organ damage, mainly lungs, liver, kidney, digestive tracts, heart, and new concern of the brain. 109 Recently, it has also been suggested to understand the long-term COVID via the understanding of chronic 110 effects of SARS-CoV-2 infection for a long timee, mainly more than 4 weeks. This is important in the case 111 of mutated SARS-CoV-2, which can invade the vaccine and may cause re-occurrence of COVID-19 even 112 after full vaccination and booster(s).