All Artificial Intelligence & Machine Learning articles – Page 4
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NewsGut bacteria may hold key to unlocking better cancer treatment
Scientists have discovered a range of microbial ‘biomarkers’ that could help to improve detection and treatment of gastrointestinal diseases (GIDs) such as gastric cancer (GC), colorectal cancer (CRC), and inflammatory bowel disease (IBD).
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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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NewsParticles carrying multiple vaccine doses could reduce the need for follow-up shots
Researchers are working to develop microparticles that can release their payload weeks or months after being injected. This could lead to vaccines that can be given just once, with several doses that would be released at different time points.
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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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NewsHow math helps to protect crops from invasive disease
New research demonstrates how mathematical modeling can predict outbreaks of toxic fungi in Texas corn crops—offering a potential lifeline to farmers facing billions in harvest losses.
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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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NewsInfectious disease surveillance platform BEACON launches as a new open-source global resource
The Biothreats Emergence, Analysis and Communications Network (BEACON), an open-source infectious diseases monitoring tool powered by AI and human experts, has been launched.
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NewsResearchers develop UV and machine learning-aided method to detect microbial contamination in cell cultures
This is the first novel technology that utilises machine learning to analyse unique ultraviolet light “fingerprints” on cell cultures to quickly identify the presence of contamination.
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NewsNew platform leverages AI and quantum computing to predict salmonella antimicrobial resistance
A recent study presents a novel approach to predict Salmonella antimicrobial resistance, a growing concern for public health. The research combines large language models (LLMs) and quantum computing to develop a predictive platform.
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NewsScientists decode citrus greening resistance and develop AI-assisted treatment
Researchers have identified the first mechanism of citrus resistance to citrus greening disease, or huanglongbing (HLB), and also used AI to develop antimicrobial peptides that offer a promising therapeutic approach to combat the disease.
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NewsResearchers use AI to improve diagnosis of drug-resistant infections
Scientists have developed a new AI-based method that more accurately detects genetic markers of antibiotic resistance in Mycobacterium tuberculosis and Staphylococcus aureus — potentially leading to faster and more effective treatments.
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NewsMulti-resistance in bacteria predicted by AI model
An AI model can predict whether bacteria will become antibiotic-resistant. The study shows that antibiotic resistance is more easily transmitted between genetically similar bacteria and mainly occurs in wastewater treatment plants and inside the human body.
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NewsResearchers develop machine learning model to predict virus reservoirs
A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans.
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NewsAI learns to ‘speak’ genetic ‘dialect’ for future SARS-CoV-2 mutation prediction
Researchers have developed a new method to predict mutations in virus protein sequences called Deep Novel Mutation Search (DNMS), a type of artificial intelligence model that uses deep neural networks.
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NewsPlastic-degrading enzymes from landfills
Researchers identified and analysed the structure and predicted functions of potential plastic-degrading enzymes in collected landfills sample from around the world, in an effort to reduce plastic pollution.
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NewsA review of Clostridioides difficile infection and treatments
<i>Clostridioides difficile</i> is a serious nosocomial infection that could cause from mild diarrhea to fatal colitis. Here presents a general overview that describes the current and emerging treatment practices for the prevention of <i>Clostridioides difficile</i> infection and its recourrences.