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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.


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).


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).


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.


Machine learning enhances non-verbal communication in online classrooms

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June 21, 2021--Researchers in the Center for Research on Entertainment and Learning (CREL) at the University of California San Diego have developed a system to analyze and track eye movements to enhance teaching in tomorrow's virtual classrooms – and perhaps future virtual concert halls. UC San Diego music and computer science professor Shlomo Dubnov, an expert in computer music who directs the Qualcomm Institute-based CREL, began developing the new tool to deal with a downside of teaching music over Zoom during the COVID-19 pandemic. "In a music classroom, non-verbal communication such as facial affect and body gestures is critical to keep students on task, coordinate musical flow and communicate improvisational ideas," said Dubnov. "Unfortunately, this non-verbal aspect of teaching and learning is dramatically hampered in the virtual classroom where you don't inhabit the same physical space." To overcome the problem, Dubnov and Ph.D. student Ross Greer recently published a conference paper on a system that uses eye tracking and machine learning to allow an educator to make'eye contact' with individual students or performers in disparate locations – and lets each student know when he or she is the focus of the teacher's attention.


Artificial Intelligence: A novel way of ability for disability

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"Intelligence is the ability to adapt to change", were the words of the world's prominent scientist and writer, Prof. Stephen Hawking. He had to suffer from a devastating situation of his neural disease in an early emerging stage of his career and became paralyzed. However, the disability was failed to stay ahead in his field of cosmology and introducing the world with his groundbreaking research. It became possible only because the automation which was provided by cutting-edge technologies, become his backbone. Thanks to AI, disabled people drastically improve their own lives at the pinnacle of ability where they even can deal with Lucifer of tragic events. Many branches of AI dramatically influence people who are dealing with any kind of accessibility problem.


Towards gender equity in artificial intelligence and machine learning applications in dermatology

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doi: 10.1093/jamia/ocab113. Online ahead of print. ABSTRACT. There has been increased excitement around the use of machine learning (ML) and …


Can Artificial intelligence Affect Everything in Our Society?

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AI, or artificial intelligence, has become huge in recent years and has affected many aspects of our society. We've seen it in our restaurants, our hospitals, and even our schools. AI is even impacting the latest casino bonuses. Since many people like to gamble online, online casinos have implemented AI to help you beat probabilities and earn you more bonuses. However, you sometimes have to wonder whether AI is affecting your life as well.