Since the White House issued a "call to action" to AI researchers to help fight the coronavirus spread, researchers have stepped up in multiple ways. Lots of data is available. The Covid-19 Open Research Dataset (CORD-19) is a collection of research studies published in both peer-reviewed journals and non-peer-reviewed pre-print websites such as bioRxiv and medRxiv. Currently, it consists of over 13,000 full-text papers and abstracts for another 16,000 papers and is expected to be updated with new research as it becomes available, according to an account in Forbes. The account was written by Kashyap Kompella, the CEO of the technology industry analyst firm RPA2AI Research.

As the COVID-19 coronavirus outbreak continues to spread across the globe, companies and researchers are looking to use artificial intelligence as a way of addressing the challenges of the virus. Here are just some of the projects using AI to address the coronavirus outbreak. A number of research projects are using AI to identify drugs that were developed to fight other diseases but which could now be repurposed to take on coronavirus. By studying the molecular setup of existing drugs with AI, companies want to identify which ones might disrupt the way COVID-19 works. BenevolentAI, a London-based drug-discovery company, began turning its attentions towards the coronavirus problem in late January.

To help fight the COVID-19 pandemic, the administration is calling on the nation's artificial intelligence and machine learning experts to help scientists tease insights out of the growing troves of scholarly research into the virus. A machine-readable dataset of over 29,000 peer-reviewed articles, 13,000 of which are full text, has been compiled by partners in the initiative. Microsoft identified and gathered worldwide scientific efforts and results; the Chan Zuckerberg Initiative provided access to pre-publication content; while the National Library of Medicine opened access its content. Georgetown University's Center for Security and Emerging Technology helped coordinate the effort along with the Allen Institute for AI, which also transformed the content into machine-readable form, making the corpus ready for analysis and study, according to a White House statement. Updated daily, the CORD-19 dataset is available on the Allen Institute's SemanticScholar, a site that uses AI-powered search to help researchers find relevant studies and machine learning tools that identify connections between papers.