부산대학교 도서관

Objective: Current scenario of COVID-19 pandemic paved way for evolution and implementation of futuristic digital and artificial intelligence technologies along with point-of-care technologies (POCTs) diagnostic technologies in the monitoring of pregnancy. Methodology: Researchers are developing ediagnostics POCTs to help the health workers in the monitoring of pregnancy and predicting complications during pregnancy for timely intervention. The future of diagnostic approaches towards COVID-19 and future pandemics require fast and cheap point-of-care technologies coupled to PCR/ ELISA/ CRISPR based diagnosis. Hence, proper diagnosis and testing are necessary to diagnose asymptomatic COVID-19 cases. Results: These advanced and alternative POCTs will prove highly beneficial, especially for the pregnant females, in detection of complications and associated comorbidities, like hypertension and preeclampsia, providing an opportunity towards risk assessment, diagnosis and prevention of diseases. Artificial intelligence in the current COVID-19 scenario could be of immense help in management, follow-up of pregnant women, and handling their clinical and epidemiological data, computational resources, scalability, privacy, and ethical concerns. Conclusion: The extent to which pregnancy imposes the risk of COVID-19 complications needs to be explored in detail and data mining in principle outcomes and preventive strategies on AI and digital and telemedicine platforms for eHealth and ediagnostics. Keywords: COVID-19, pregnancy, preeclampsia, hypertension, diagnostics, biomarker
O-14 Simmi Kharb (a), Abhyuday Singh (b) (a) Department of Biochemistry, and Multidisciplinary Research Unit, Pt. B. D. Sharma PGIMS, Rohtak, Haryana, India (b) Xformics Technologies, [...]