Experimental Technologies in the Diagnosis and Treatment of COVID-19 in Patients with Comorbidities

• Published in: Journal of healthcare informatics research Vol. 6; no. 1; pp. 48 - 71
• Main Authors: Amin, Md Shahnoor, Wozniak, Marcin, Barbaric, Lidija, Pickard, Shanel, Yerrabelli, Rahul S., Christensen, Anton, Coiado, Olivia C.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.03.2022
• Subjects: Biomedical Engineering and Bioengineering; Computational Biology/Bioinformatics; Computational Intelligence; Computer Science; Data Mining and Knowledge Discovery; Health Informatics; Review; Review Article; Special Collection on COVID-19; Wearables; Innovation; Non-wearables; Cardiovascular; Pulmonary; Immune system
• ISSN: 2509-4971; 2509-498X
• DOI: 10.1007/s41666-021-00106-7

The COVID-19 pandemic has impacted the whole world and raised concerns about its effects on different human organ systems. Early detection of COVID-19 may significantly increase the rate of survival; thus, it is critical that the disease is detected early. Emerging technologies have been used to prevent, diagnose, and manage COVID-19 among the populace in the USA and globally. Numerous studies have revealed the growing implementation of novel engineered systems during the intervention at various points of the disease’s pathogenesis, especially as it relates to comorbidities and complications related to cardiovascular and respiratory organ systems. In this review, we provide a succinct, but extensive, review of the pathogenesis of COVID-19, particularly as it relates to angiotensin-converting enzyme 2 (ACE2) as a viral entry point. This is followed by a comprehensive analysis of cardiovascular and respiratory comorbidities of COVID-19 and novel technologies that are used to diagnose and manage hospitalized patients. Continuous cardiorespiratory monitoring systems, novel machine learning algorithms for rapidly triaging patients, various imaging modalities, wearable immunosensors, hotspot tracking systems, and other emerging technologies are reviewed. COVID-19 effects on the immune system, associated inflammatory biomarkers, and innovative therapies are also assessed. Finally, with emphasis on the impact of wearable and non-wearable systems, this review highlights future technologies that could help diagnose, monitor, and mitigate disease progression. Technologies that account for an individual’s health conditions, comorbidities, and even socioeconomic factors can drastically reduce the high mortality seen among many COVID-19 patients, primarily via disease prevention, early detection, and pertinent management.