immunology


Coronavirus Could be Fought with Artificial Intelligence - BioTechniques

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How long can coronavirus remain infectious in the air and on contaminated surfaces? New study finds that the novel coronavirus, SARS-CoV-2, can remain viable on plastic and steel for several days, highlighting the importance of hand washing and surface cleaning amidst the current outbreak. However, the consortium is not the only group harnessing the power of artificial intelligence in the fight against the coronavirus pandemic. Other scientists are attempting to develop a computer model of the coronavirus, which they hope will aid in the development of new drugs and vaccines. Continuing on from the initial work conducted by the University of Texas at Austin (TX, USA), biochemists from the University of California, San Diego are endeavoring to build the first complete all-atom model of the SARS-COV-2 coronavirus envelope.


Explore valuable data related to COVID-19 with free public datasets, available in Google Cloud's BigQuery. Google Cloud Blog

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Data always plays a critical role in the ability to research, study, and combat public health emergencies, and nowhere is this more true than in the case of a global crisis. Access to data sets--and tools that can analyze that data at cloud scale--are increasingly essential to the research process, and are particularly necessary in the global response to the novel coronavirus (COVID-19). To aid researchers, data scientists, and analysts in the effort to combat COVID-19, we are making a hosted repository of public datasets, like Johns Hopkins Center for Systems Science and Engineering (JHU CSSE), the Global Health Data from the World Bank, and OpenStreetMap data, free to access and query through our COVID-19 Public Dataset Program. Researchers can also use BigQuery ML to train advanced machine learning models with this data right inside BigQuery at no additional cost. "Making COVID-19 data open and available in BigQuery will be a boon to researchers and analysis in the field," says Sam Skillman, Head of Engineering at Descartes Labs.


ExpertFile COVID-19 Search Engine Connects Journalists, Experts

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Curated Online Resource Puts Journalists a Click Away From Hundreds of Healthcare, Economic, Industry and Social Science Experts for Quick and Reliable Sources on the Current Coronavirus Pandemic. In response to unprecedented demand for expert sources and fact-based insights during the COVID-19 pandemic, ExpertFile has launched the COVID-19 Experts Search Engine, a specialized online resource designed to help newsrooms around the world;access reliable experts to speak on a variety of topics related to the coronavirus. With millions affected worldwide by the COVID-19 pandemic, the dangers of misinformation and factual inaccuracy pose a potentially devastating impact on society. As the largest curated, open-access search engine of international expert sources, ExpertFile worked quickly and in close consultation with its members -- including healthcare professionals, university academics, NGO's, corporations, industry associations and journalists -- to build the COVID-19 Experts Search Engine. "Facts matter more than opinions when real lives are at stake. We understand that journalists need evidence-based information, and they need it quickly," said Peter Evans, Co-Founder & CEO of ExpertFile.


Responding to COVID-19 with AI and machine learning

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Today I published a perspective paper on COVID-19. The paper is co-authored with members of the Cambridge Centre for AI in Medicine (which I recently founded and I am directing), and calls on governments and healthcare authorities to use proven AI and machine learning techniques and existing data to coordinate a response to the disease. If you'd like to ask me about the paper or discuss it further, please leave a question/comment below, and I'll get back to you. I've also provided a link to the full paper at the bottom of this post. Both the UK and the international community are still in the early stages of a crisis that will see an unbelievable amount of pressure put on social and healthcare infrastructure.


ELLIS against Covid-19

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The world is facing a public health emergency caused by the Covid-19 pandemic. We all need to take this on, and science can make a major contribution. This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI, carried out by leading international researchers. Research topics include outbreak prediction, epidemiological modelling, drug development, viral and host genome sequencing, and health care management. As many are interested in the topic or eager to contribute, the event will be open to the general public via livestreaming and recording.


How Artificial Intelligence Is Helping Fight The COVID-19 Pandemic

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From its epicenter in China, the novel coronavirus has spread to infect 414,179 people and cause no less than 18,440 deaths in at least 160 countries across a three-month span from January 2020 till date. These figures are according to the World Health Organization (WHO) Situation report as of March 25th. Accompanying the tragic loss of life that the virus has caused is the impact to the global economy, which has reeled from the effects of the pandemic. Due to the lockdown measures imposed by several governments, economic activity has slowed around the world, and the Organization for Economic Cooperation and Development (OECD) has stated that the global economy could be hit by its worst growth rate since 2009. The OECD have alerted that the growth rate could be as slow as 2.4%, potentially dragging many countries into recession.


AI tool predicts which coronavirus patients will get deadly 'wet lung'

The Japan Times

Washington – Researchers in the U.S. and China reported Monday they have developed an artificial intelligence tool that is able to accurately predict which newly infected patients with the novel coronavirus go on to develop severe lung disease. Once deployed, the algorithm could assist doctors in making choices about where to prioritize care in resource-stretched health care systems, said Megan Coffee, a physician and professor at New York University's Grossman School of Medicine who co-authored a paper on the finding in the journal Computers, Materials & Continua. The tool discovered several surprising indicators that were most strongly predictive of who went on to develop so-called acute respiratory disease syndrome (ARDS), a severe complication of the COVID-19 illness that fills the lungs with fluid and kills around 50 percent of coronavirus patients who get it. The team applied a machine learning algorithm to data from 53 coronavirus patients across two hospitals in Wenzhou, China, finding that changes in three features – levels of the liver enzyme alanine aminotransferase (ALT), reported body aches, and hemoglobin levels – were most accurately predictive of subsequent, severe disease. Using this information along with other factors, the tool was able to predict risk of ARDS with up to 80 percent accuracy.


C3.ai launches digital transformation institute

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Tech company C3.ai has teamed up with an all-star cast of collaborators, including Microsoft and several prestigious educational institutions. Partnering with Princeton University, Berkley, the Massachusetts Institute of Technology and others, C3.ai has launched two new initiatives to develop research and innovation within the field of artificial intelligence (AI): C3.ai Digital Transformation Institute: Pooling the research assets of several leading institutions, this project will seek to drive the widespread adoption of AI in business, government and wider society. C3.ai DTI First Call for Research Proposals: Designed to create a dialogue between researchers, academics and concept developers, C3.ai is hoping to tackle a timely subject and hopefully accelerate the finding of a solution: the COVID-19 pandemic. Thomas M. Siebel, CEO, presented the projects as a unique opportunity to bring together the best minds from every aspect of the tech industry and unite their abilities for the greater good of society. "We have the opportunity through public-private partnership to change the course of a global pandemic […] I cannot imagine a more important use of AI," he stated.


Doctors using artificial intelligence to track coronavirus outbreak

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With novel coronavirus spreading throughout the United States, researchers are turning to social media and artificial intelligence to track the virus as it spreads. A team headquartered at Boston Children's Hospital is implementing machine learning to scour through social posts, news reports, data from official public health channels and information supplied by doctors for warning signs that the virus is taking hold in locations outside of China. "There's incredible data that's locked away in various tools like online news sites, social media, crowdsourcing, data sources, that you wouldn't think of that would be used for public health," said Dr. John Brownstein, chief innovation officer at Boston Children's Hospital. "But actually they have incredible amounts of information that you wouldn't find in any sort of traditional government system." More than 95,000 people around the world have been infected by the outbreak of novel coronavirus, and more than 3,200 have died -- most in China.


Los Angeles, San Francisco streets and tourist areas largely empty during coronavirus outbreak, video shows

FOX News

Fox News finds the coronavirus outbreak has left San Francisco streets and tourist sites including Chinatown and Fisherman's Wharf largely deserted. Get all the latest news on coronavirus and more delivered daily to your inbox. New drone footage and other video shot by Fox News shows once-busy streets and tourist areas in Los Angeles and San Francisco eerily deserted as the coronavirus has kept people indoors. Fisherman's Wharf, one of San Francisco's busiest tourist areas, once brimming with souvenir shops and seafood stalls and situated near Ghirardelli Square, was shuttered after the city's mayor called for a shelter-in-place, restricting people from leaving their homes except for trips to the grocery store or for medical supplies. The Golden Gate Bridge, which usually has seen over 100,000 cars and other vehicles a day and Alamo Square -- which overlooks the famous "Painted Ladies" -- were surprisingly barren.