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 E-Mail IMAGE: The algorithm will be implemented on brain-inspired computing systems, like the spike-based SpiNNaker (pictured here). SpiNNaker is part of the Human Brain Project's EBRAINS research infrastructure. view more  Credit: © Forschungszentrum Jülich Most new achievements in artificial intelligence (AI) require very large neural networks. They consist of hundreds of millions of neurons arranged in several hundred layers, i.e. they have very "deep" network structures. These large, deep neural networks consume a lot of energy in the computer. Those neural networks that are ...

 E-Mail IMAGE: Detection of tumor-infiltrating lymphocytes (TILs) using explainable AI. The AI-technique is used to generate a heatmap showing TILs (red) and other tissues and cells (blue and green). view more  Credit: Image: Klauschen/Charité Researchers at Charité - Universitätsmedizin Berlin and TU Berlin as well as the University of Oslo have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence (AI). Two further developments make this system unique: For the first time, morphological, molecular and histological data are i...

Novel AI tool takes a DeepCE dive into potential drugs for COVID-19 5 A new phenotype-based compound screening technology, called DeepCE, identified 10 compounds that could be repurposed for COVID-19. DeepCE (pronounced ‘Deep Sea’), a novel deep-learning computer model that can predict how gene expression will change in response to medicines, has been used to identify 10 compounds that could be repurposed as treatments for COVID-19. Two of the drugs – cyclosporin, an immunosuppressant used to prevent transplant organ rejection, and anidulafungin, an antifungal agent – are currently ap...

Adobe Long before the pace of scientific publishing about Covid-19 broke land speed records, researchers were struggling to keep tabs on new studies in their fields. And to lighten the load, they’re increasingly turning to tools powered by artificial intelligence. Researchers at Utrecht University in the Netherlands have built one such tool for a particularly labor-intensive step in the scientific process: sifting through many thousands of papers to find the ones most relevant to researchers conducting systematic reviews. Their open-source program, ASReview, is described in a new paper publ...

 E-Mail COLUMBUS, Ohio - A new deep-learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19. All but two of the drugs are still considered investigational and are being tested for effectiveness against hepatitis C, fungal disease, cancer and heart disease. The list also includes the approved drugs cyclosporine, an immunosuppressant that prevents transplant organ rejection, and anidulafungin, an antifungal agent. The discovery was made by computer scientists, meaning much more work needs...