Infections and Infectious Diseases


Royal Dutch Shell reskills workers in artificial intelligence as part of huge energy transition

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Working at Royal Dutch Shell's Deepwater division in New Orleans gives Barbara Waelde a front-row seat to how the right data can unlock crucial information for the oil giant. So when her supervisor asked her last year if she was interested in a program that could sharpen her digital and data science capabilities, Waelde, 55, jumped at the chance. Since she began her online coursework, the seven-year Shell veteran has learned Python programming, supervised learning algorithms and data modeling, among other skills. Shell began making these online courses available to U.S. employees long before COVID-19 upended daily life. And according to the oil giant, there are no plans to halt or cancel any of them, despite the fact that on March 23 it announced plans to slash operating costs by $9 billion.


Analysis on Impact of COVID-19-Artificial Intelligence (AI) in Construction Market 2019-2023 Demand for Data Integration to Boost Growth Technavio

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Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.


Automation Anywhere Delivers Business Continuity with RPA

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Automation Anywhere, a global leader in Robotic Process Automation (RPA), announced the launch of Bot Security, the industry's first security program to set the standard for securing software bots that enable business continuity. The magnitude of the coronavirus (Covid-19) outbreak has organizations around the world looking to technologies like RPA and intelligent automation to help mitigate disruptions and advance public health, keep global supply chains moving and governments afloat. The company introduced a flexible, multi-tiered framework to certify that bots built by customers, partners, and publishers of bots on Bot Store – the world's largest intelligent automation marketplace with more than 850 pre-built bots – are pre-certified and trusted to scale RPA more rapidly and securely. With Bot Security, users downloading ready-to-deploy intelligent software bots no longer have to compromise on security as they build RPA solutions to access critical data, track the virus's spread and direct citizens to vital information from trusted sources. Automation Anywhere leads the industry as the first vendor to offer a web-based, cloud-native RPA platform that is System and Organization Controls (SOC) 2 Type 1 certified.


Columbia University DSI Alumni Use Machine Learning to Discover Coronavirus Treatments - insideBIGDATA

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Two graduates of the Data Science Institute (DSI) at Columbia University are using computational design to quickly discover treatments for the coronavirus. Andrew Satz and Brett Averso are chief executive officer and chief technology officer, respectively, of EVQLV, a startup creating algorithms capable of computationally generating, screening, and optimizing hundreds of millions of therapeutic antibodies. They apply their technology to discover treatments most likely to help those infected by the virus responsible for COVID-19.


Show me your ID: Tunisia deploys 'robocop' to enforce COVID-19 lockdown

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Tunisia deployed a police robot to patrol streets of the capital and enforce a lockdown imposed to contain coronavirus spread. Known as PGuard, the "robocop" which is remotely operated and is equipped with thermal imaging cameras is seen calling out to suspected violators in a video, "What are you doing? You don't know there's a lockdown?"


This artificial intelligence tool can predict which Covid-19 patient is likely to develop respiratory disease

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NEW YORK: Scientists have developed an artificial intelligence (AI) tool that may accurately predict which patients newly infected with the virus that causes Covid-19 would go on to develop severe respiratory disease. The study, published in the journal Computers, Materials & Continua, also revealed the best indicators of future severity, and found that they were not as expected. "While work remains to further validate our model, it holds promise as another tool to predict the patients most vulnerable to the virus, but only in support of physicians' hard-won clinical experience in treating viral infections," said Megan Coffee, a clinical assistant professor at New York University (NYU) in the US. "Our goal was to design and deploy a decision-support tool using AI capabilities -- mostly predictive analytics -- to flag future clinical coronavirus severity," said Anasse Bari, a clinical assistant professor at New York University. "We hope that the tool, when fully developed, will be useful to physicians as they assess which moderately ill patients really need beds, and who can safely go home, with hospital resources stretched thin," Bari said.


UK-US Initiative to Screen Drugs Using AI for Coronavirus Treatments

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IBM makes AI free for answering COVID-19 questions

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IBM will make its Watson artificial intelligence software available for free, so government agencies, businesses, universities and healthcare institutions can use intelligent bots to answer citizens' queries about the unfolding COVID-19 crisis. The software will be available for free for at least 90 days, meaning organisations can use it to create chatbots to alleviate demand and waiting times on customer service phone numbers. IBM's Watson AI software will be free for organisations to create customer service bots, which can talk to people about their COVID-19 queries. The free service is already being used by organisations in the US and across Europe and the company said it could be added into existing mobile phone apps, or online apps such as the newly released Australian government's, to provide information and advice about the pandemic. In a statement IBM's general manager of data and AI Rob Thomas said it was putting years of experience in helping businesses use natural language processing, out into the market for use.


IBM makes AI tools and resources available to coronavirus researchers

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IBM today announced the launch of services intended to furnish researchers with resources to fight the novel coronavirus. The company made molecules identified by AI as therapeutic candidates available under an open license, and it introduced a free version of its Functional Genomics Platform to support genome features discovery. Additionally, it provided free access to over 1,000 pieces of evidence-based curated COVID-19 and infectious disease content, and it rolled out an AI search engine trained on the COVID-19 Open Research Dataset to allow researchers to quickly find answers to questions. According to Dario Gil, director of IBM Research, IBM created a new AI-generative framework that can rapidly create novel peptides, proteins, drug candidates, and materials, which it applied against three targets to create 3,000 new small molecules as potential COVID-19 therapeutic candidates. Researchers can study them via an interactive tool to understand their characteristics and relationship to COVID-19, and to identify molecules that might have desirable properties to be pursued in drug development.


Artificial intelligence to predict which COVID-19 patients need ventilators

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Experts at the University of Copenhagen, Denmark, have begun using artificial intelligence to create computer models that calculate the risk of a corona patient's needing intensive care or a ventilator. As coronavirus patients are hospitalized, it is difficult for doctors to predict which of them will require intensive care and a respirator. Many different factors come into play, some yet to be fully understood by doctors . As such, computer scientists at the University of Copenhagen are now developing computer models based on artificial intelligence that calculate the risk of an individual patient's need for a ventilator or intensive care. The new initiative is being conducted in a collaboration with Rigshospitalet and Bispebjerg Hospital.