Covid 19
COVID-19 research continues to explore the pandemic's multifaceted impact, focusing on accurate prediction of disease severity and mortality, effective diagnosis and treatment strategies, and understanding the spread of misinformation. Current research leverages machine learning, particularly deep learning models like convolutional neural networks and large language models, to analyze diverse data sources including chest X-rays, blood test parameters, and social media posts. These efforts aim to improve clinical decision-making, enhance public health interventions, and ultimately mitigate the long-term consequences of the pandemic.
Papers
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip Payne, Chenyang Lu
Transfer Learning for the Efficient Detection of COVID-19 from Smartphone Audio Data
Mattia Giovanni Campana, Franca Delmastro, Elena Pagani