Sars Cov 2

SARS-CoV-2, the virus causing COVID-19, continues to be a significant area of research, focusing on understanding its long-term health impacts across different age groups and developing improved diagnostic and treatment strategies. Current research employs diverse machine learning approaches, including convolutional neural networks (CNNs), transformers, and various regression models, to analyze genomic data, medical images (X-rays, CT scans), and patient clinical data for faster and more accurate diagnosis and prediction of disease severity and mortality. These advancements have implications for both public health interventions, such as improved pandemic response strategies, and personalized medicine, enabling more effective risk assessment and treatment plans for individuals.