Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models.

1. Deep Learning Based Hybrid Models for Prediction of COVID-19 using Chest X-Ray2. Investigation of COVID-19 and Scientific Analysis big data analytics with the help of machine learning3. Designing a Conceptual Model in the Artificial Intelligence Environment for the Healthcare Sector4. Augmented Reality, Virtual Reality and New Age Technologies Demand Escalates Amid COVID-195. Using Interpretable Machine Learning Identify Factors Contributing to Covid-19 Cases in the Us6. Cloud-based Data Pipeline Orchestration Platform for COVID-19 Evidence-based Analytics7. Threat Model and Security Analysis of Video Conferencing Systems as a Communication Paradigm During COVID-19 Pandemic8. Role of Artificial intelligence in fast-track drug discovery and vaccine development for COVID-199. The economic impact of covid-19 and the role of AI10. An optimized CNN based automated COVID-19 lung infection identification technique from C.T. images