Automation Techniques in Clinical Virology

By providing quick and precise viral infection detection, diagnosis, and characterization, automation has transformed the field of virology. Virologists have been able to automate a number of laboratory activities, including sample collection, processing, analysis, and result interpretation, using the combination Biotechnology, Artificial Intelligence (AI), and Omics technology. Real-time monitoring of viral infections has been made possible by advance devices including aptasensors, biosensors, microfluidics, and lab-on-a-chip technologies. This has provided important insights into viral pathogenesis and epidemiology. Rapid detection and classification of new viral strains have been made possible by the efficient and accurate analysis of enormous volumes of viral genomic data made possible by AI algorithms. High-throughput examination of viral genetic material has been made possible by omics technologies, such as genomics, transcriptomics, and proteomics. This has contributed in the discovery of new therapy targets and the development of new antiviral medicines. With the advancement of new technologies like CRISPR-Cas9 gene editing and machine learning algorithms for viral outbreak prediction, automation in virology has a huge amount of potential in the future. The combination of these technologies has the potential to hasten the creation of virus-specific treatments and vaccinations.