Pathogenic Coronavirus

Pathogenic coronaviruses, exemplified by SARS-CoV-2, are a significant area of ongoing research focused on improving diagnosis, understanding transmission dynamics, and predicting disease progression. Current research utilizes various machine learning models, including artificial neural networks, Long Short-Term Memory (LSTM) networks, and deep learning architectures applied to chest X-rays and other clinical data, to enhance diagnostic accuracy and epidemiological modeling. These efforts aim to improve public health responses through more efficient detection, better resource allocation, and a deeper understanding of the virus's impact on individuals and populations. The ultimate goal is to develop effective strategies for prevention, treatment, and mitigation of future outbreaks.