Machine learning and COVID-19: Applications, challenges, and future directions

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has significantly impacted global health and economies. Machine learning (ML), a subset of artificial intelligence (AI), has played a crucial role in understanding, managing, and mitigating the effects of the pandemic. This article reviews the applications of machine learning in COVID-19 research, including diagnostics, treatment, epidemiology, and public health strategies. It also discusses the challenges faced and the potential future directions for integrating machine learning in pandemic response and preparedness.