All AI & in silico microbiology articles – Page 2
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NewsAI-powered framework predicts the evolutionary fitness of SARS-CoV-2 variants
CoVFit is a novel framework designed to predict the fitness of SARS-CoV-2 variants. It integrates molecular data with large-scale epidemiological data to provide a predictive model that helps us understand why some variants succeed while others do not.
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NewsAI predicts bacterial resistance to cleaning agents
With the help of artificial intelligence and DNA decoding, a new method can predict how well disease-causing bacteria such as Listeria tolerate disinfectants. This research may become a valuable weapon in the fight against harmful bacteria.
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NewsPredictive AI model can help build vaccines for future versions of a virus
Researchers have created an AI tool called EVE-Vax that can predict and design viral proteins likely to emerge in the future. For SARS-CoV-2, panels of these “designer” proteins triggered similar immune responses as real-life viral proteins that emerged during the pandemic.
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NewsBreakthrough discovery uses gut bacteria and AI to diagnose a chronic pain syndrome
Scientists have developed AI technology that can detect patterns in gut bacteria to identify complex regional pain syndrome (CRPS) with remarkable accuracy, potentially transforming how CRPS is diagnosed and treated.
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NewsAI plays detective to help scientists find hidden microbes
A team of researchers has created a novel machine learning tool that’s cracking open one of biology’s trickiest puzzles: finding the rarest microbes on Earth. Ulrb not only identifies rare microorganisms but also works with non-microbial data.
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NewsNew AI technique can uncover antiviral compounds using limited data
Artificial intelligence algorithms have been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of hand, foot and mouth disease.
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NewsAtomic imaging and AI offer new insights into motion of parasite behind sleeping sickness
Researchers applied leading-edge atomic imaging and AI-driven modeling to create the most detailed 3D map yet of the flagellum on Trypanosoma brucei, which causes sleeping sickness.
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