Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments

Abstract

In today’s era, the healthcare domain is highly influenced by the widespread applications of big data analytics and artificial intelligence (AI). These technologies are being used for high-level molecular research, drug development and predictive analysis of various diseases. Currently, big data and AI are being used in several aspects against corona virus disease 2019 (COVID-19) pandemic. Literature as well as the genomic studies available for various strains of severe acute respiratory syndrome coronavirus 2, suggest how the concepts of big data and AI are being implemented to understand COVID-19 better which can assist with its antiviral drug development as well as vaccine production. These concepts of big data and AI have effectively helped with the contact tracing, epidemiology, molecular studies, medical diagnosis and treatment of COVID-19 that can help against future pandemics. Similarly, with this computational approach, various disease patterns are being recognized in different types of cancer. AI plays a major role in biomarker identification for disease progression to recognize novel hallmarks of cancer as well as in the predictive analysis of the disease. This allows an early-stage diagnosis of cancer which leads to a better prognosis. With an interdisciplinary collaboration of big data and predictive analytics, patient risk can be analyzed and estimated concerning the new treatment options available for cancer. Such high-throughput technologies have improvised the diagnosis and treatment options available for various diseases. With the advancements in science and technology and the introduction of computational models, public health and medicine have been completely revolutionized for the betterment of society.