COVID 19 Case

COVID-19 research continues to focus on improving prediction and diagnosis of the disease, leveraging diverse data sources and advanced machine learning techniques. Current efforts utilize deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs, such as LSTMs), and transformer architectures, to analyze medical images (X-rays, CT scans, ultrasound videos), voice recordings, and epidemiological time series data, often incorporating multivariate analyses and feature selection methods. These advancements aim to enhance early warning systems, improve diagnostic accuracy, and optimize resource allocation in healthcare settings, ultimately contributing to more effective pandemic preparedness and response.