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Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning - PubMed

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The world is facing the COVID-19 pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Likewise, other viruses of the Coronaviridae family were responsible for causing epidemics earlier. To tackle these viruses, there is a lack of approved antiviral drugs. Therefore, we have developed robust computational methods to predict the repurposed drugs using machine learning techniques namely Support Vector Machine, Random Forest, k-Nearest Neighbour, Artificial Neural Network, and Deep Learning. We used the experimentally validated drugs/chemicals with anticorona activity (IC50/EC50) from'DrugRepV' repository.


Prime Day 2021: The 66 Absolute Best Deals (Day 2)

WIRED

Amazon's Prime Day has grown into one of the biggest online shopping holidays of the year, thanks to the tech and retail giant's massive commercial reach (which is also cause for concern). Rival sales from other retailers are plentiful now too. As we have for many years, members of the WIRED Gear Team are sorting through hundreds of thousands of deals, cross-checking our "Best of" guides, and debating what the absolute greatest Prime Day deals are right now. Below you'll find our top picks. If you're new to this shopping holiday, be sure to check our Prime Day shopping tips before you start clicking. Note: We regularly update articles and strike through items that sell out or rise in price as of publishing, and we mark discounts based on recent product pricing or average price, not MSRP. Be sure to check discounts for yourself. Our picks come from research and our extensive experience reviewing products. You'll need an Amazon Prime subscription to get most of these deals. Updated Tuesday: We've updated pricing throughout, struck out or removed dead deals, and added new ones like the MacPook pro, Acer Swift 3, Dyson V8, Dyson Air Purifier, Traeger Grill, and more. If you buy something using links in our stories, we may earn a commission. This helps support our journalism.


UK Healthcare Scaleup Navenio Secures Government Funding for its Hospital Workforce AI Platform

Oxford Comp Sci

Navenio, the UK company that has pioneered indoor location-based artificial intelligence to revolutionise workflows and can double the throughput of hospital teams, has been successful in securing funding in the latest round of the Artificial Intelligence in Health and Care Award. Navenio was one of 38 organisations to receive the funding in the second round of the competition, with the AI Award making £140 million available to multiple applicants over four years to accelerate the testing and evaluation of artificial intelligence technologies which meet the aims set out in the NHS Long Term Plan. Through world-leading University of Oxford research, Navenio creates unique indoor location-based services, solving the problem that GPS doesn't work indoors without requiring any new infrastructure. The Award's aim is to increase the impact of AI-driven technologies to help solve clinical and operational challenges across the NHS and care settings. It aligns perfectly with Navenio's mission to help transform hospitals through ensuring the right person is in the right place, at the right time.


Gastric Histopathology Image Classification by Transformer, GasHis-Transformer

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GasHis-Transformer is a model for realizing gastric histopathological image classification (GHIC), which automatically classifies microscopic images of the stomach into normal and abnormal cases in gastric cancer diagnosis, as shown in the figure. GasHis-Transformer is a multi-scale image classification model that combines the best features of Vision Transformer (ViT) and CNN, where ViT is good for global information and CNN is good for local information. GasHis-Transformer consists of two important modules, Global Information Module ( GIM) and Local Information Module ( LIM), as shown in the figure below. GasHisTransformer has high classification performance on the test data of gastric histopathology dataset, with estimate precision, recall, F1-score, and accuracy of 98.0%, 100.0%, 96.0%, and 98.0%, respectively. GasHisTransformer consists of two modules: Global Information Module (GIM) and Local Information Module (LIM).


AI, the future of work and how to improve the safety and security of the workforce

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In less than two years, the workplace has evolved quickly. Our personal space inside our homes has transformed into a makeshift office, while corporate buildings are vacant and underutilised. As vaccines continue to roll out, a hybrid work model has emerged, with staff now alternating and'taking turns' being back in the office. In the US, research done by SHRM.org highlights that 55% of the workforce favours a hybrid workforce post-pandemic. In the UK, a survey by PWC found 77% of UK employees want a mix of face-to-face and remote working.


Can we be friends? Dating apps say sex isn't everything in a post-pandemic world

The Japan Times

I've just come out of a long-term lockdown. Instead, they crave the friendships and social groups they have been starved of over the past year. That's the verdict of dating apps such as Tinder and Bumble, which are launching or acquiring new services focused entirely on making and maintaining friends. "There's a really interesting trend that has been taking place in the connection space, which is this desire to have platonic relationships," said Bumble founder and CEO Whitney Wolfe Herd. "People are seeking friendship in ways they would have only done offline before the pandemic."


Patients to get easier access to medical data through NHS App

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Patients are set to get easier access to their medication lists and care plans through the NHS App under the government's new data strategy. New requirements for data sharing across the entire health and care system are also set to come into place, with new legislation to be introduced to require all adult social care providers to provide information about the services they fund. Published today (June 22), the NHSX draft strategy'Data Saves Lives: Reshaping health and social care with data', aims to capitalise on the work undertaken using data during the pandemic to improve health and care services. In a bid to establish openness, the government committed to publishing the first transparency statement setting out how health and care data has been used across the sector by 2022. Under the proposals, patients are set to gain more control over their health data, while data will also be used to improve care and treatment.


6 Steps Companies Can Take to Strengthen Their Cyber Strategy - InformationWeek

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While these technical skills are certainly important, we're also now looking more holistically at candidates to test their abilities to think critically and creatively as well as uncover new solutions. As we face new and unprecedented challenges in cyber protection, it's critical that cyber leaders hire team members who think outside-the-box, have intellectual curiosity, employ bold thinking, and are natural problem solvers. Protecting an organization against advanced cyber threats requires innovative thinking and techniques; people, process and technology capabilities are needed to properly defend ourselves against sophisticated attackers, such as nation states. Cyber threats will continue to evolve, as will the new techniques described above to enable cyber resiliency. Ariel Weintraub is currently the Head of Enterprise Cyber Security at MassMutual. Ariel first joined MassMutual in the fall of 2019 as the Head of Security Operations & Engineering, responsible for the Global Security Operations Center, Security Engineering, Security Intelligence, and Identity & Access Management. Prior to joining MassMutual, Ariel served as Senior Director of Data & Access Security within Cybersecurity Operations at TIAA where she led a three-year business transformation program to position IAM as a digital business enabler. Prior to TIAA, Ariel held the position of Global Head of Vulnerability Management at BNY Mellon and was part of the Threat & Vulnerability Management practice at PricewaterhouseCoopers (PwC).


Announcing the winners of the Sample-Efficient Sequential Bayesian Decision Making request for proposals - Facebook Research

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In February 2021, Facebook launched a request for proposals (RFP) on sample-efficient sequential Bayesian decision-making. View RFP In a Q&A about the RFP, Core Data Science researchers said they are keen to learn more about all the great research that is going on in the area of Bayesian optimization. Eytan Bakshy and Max Balandat, members of the team behind the RFP, also spoke about sharing a number of really interesting real-world use cases that they hope can help inspire additional applied research and increase interest and research activity into sample-efficient sequential Bayesian decision-making. The team reviewed 89 high-quality proposals and are pleased to announce the two winning proposals below, as well as the 10 finalists. Thank you to everyone who took the time to submit a proposal, and congratulations to the winners.


Microscopy deep learning predicts viral infections

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When viruses infect a cell, changes in the cell nucleus occur, and these can be observed through fluorescence microscopy. Using fluoresence images made in live cells, researchers at the University of Zurich have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses. The procedure also identifies severe acute infections at an early stage. In most cases, this does not lead to the production of new virus particles, as the viruses are suppressed by the immune system. However, adenoviruses and herpes viruses can cause persistent infections that the immune system is unable to keep completely in check and that produce viral particles for years. These same viruses can also cause sudden, violent infections where affected cells release large amounts of viruses, such that the infection spreads rapidly.