This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …

More than 50 000 papers have been published about COVID-19 since the beginning of
2020 and several hundred new papers continue to be published every day. This incredible …

To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant
biomedical knowledge in scientific literature to understand the disease mechanism and …

The COVID-19 (coronavirus disease 2019) pandemic has had a significant impact on
society, both because of the serious health effects of COVID-19 and because of public …

Biomedical research yields vast information, much of which is only accessible through the
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …

COVID-19 has created enormous suffering, affecting lives, and causing deaths. The ease
with which this type of coronavirus can spread has exposed weaknesses of many healthcare …

A Computational Inflection for Scientific Discovery Page 1 DOI:10.1145/3576896 Enabling
researchers to leverage systems to overcome the limits of human cognitive capacity. BY TOM …

Keeping track of scientific challenges, advances and emerging directions is a fundamental
part of research. However, researchers face a flood of papers that hinders discovery of …

Emerging technologies are set to play an important role in our response to the COVID-19
pandemic. This paper explores three prominent initiatives: COVID-19 focused datasets (eg …

Isolated silos of scientific research and the growing challenge of information overload limit
awareness across the literature and hinder innovation. Algorithmic curation and …