All Artificial Intelligence & Machine Learning articles
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News
With AI, researchers find increasing immune evasion in H5N1
A new analysis suggests that the H5N1 avian influenza virus is evolving clever strategies. Using artificial intelligence tools, researchers analyzed thousands of viral proteins and found that their bonds to protective antibodies have weakened over time.
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Align announces new collaboration with ATCC to bring AI-ready microbial datasets to life
The Align Foundation has announced a collaboration with ATCC to create the world’s largest public, AI-ready microbial phenotyping dataset.
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Mushrooms could be the key to developing better materials
Researchers are studying the cell structure of fungi to learn how it determines their mechanical properties and what science can learn from that to create better materials. They analyzed their cell structures and tested them to calculate the stress loads they could handle.
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Machine learning method helps bring diagnostic testing out of the lab
A new point-of-care biosensing method, dubbed LOCA-PRAM, improves the accessibility of biomarker detection by eliminating the need for technical experts to perform the image analysis.
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Study validates DenovAI’s platform for programmable de novo-designed protein therapeutics
Researchers introduce a new class of experimentally validated AI-driven protein design tools that have the potential to accelerate drug development.
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Scientists team up to identify infectious diseases using AI and hyperspectral imaging
A collaboration will expand patented technology to detect viral signatures in animals. ESS Protect – Animal will offer rapid, non-invasive, and contactless screening for bovine respiratory disease (BRD) using hyperspectral imaging and advanced machine learning.
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AI could accelerate protein engineering – key for developing new medicines
An AI approach developed by researchers from the University of Sheffield and AstraZeneca could make it easier to design proteins needed for new treatments.
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Features
Genome sleuths: using DNA to trace the evolution of animal-to-human pathogens
Zoonotic spillovers have become a significant focus of global health, with outbreaks like SARS and COVID-19 underscoring how quickly these events can escalate into worldwide crises. Genomics is crucial in tracing the origins and predicting the emergence of zoonotic threats.
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Broad-spectrum coronavirus drug developed through AI-enabled dynamic modeling
Multidisciplinary AI- and physics-driven modeling of the viral fusion process enables discovery of an orally available drug inhibiting infection with multiple coronaviruses.
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Instant AI-assisted test for viral infection
A non-DNA based test could identify viral infections in patients in minutes. Scientists designed a test that confirms the presence of live virus by pushing particles through a nanopore, one at a time, and measuring their electrical conductivity, which varies with size and surface charge as well as the unique molecular structure of the virus.
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New study reveals global warming accelerates antibiotic resistance in soils
A new international study has revealed that climate change is accelerating the rate of development and global abundances of antibiotic resistance bacteria in soils.
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Computer-identified antiviral drug candidates confirmed by lab experiments
An interdisciplinary research team has identified two antiviral drug candidates effective against a wide range of viruses. The study demonstrates how combining computer-aided modeling with laboratory validation can speed up the development of new antiviral drugs.
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Scientists deploy multi-scale features and attention mechanisms to optimize apple disease identification
A new machine learning algorithm-based disease recognition model elevated the accuracy of apple leaf disease identification to 96.76%, significantly outperforming mainstream models. It allows farmers to swiftly implement targeted treatments via mobile apps.
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Real-time 3D visualization of leech peptide reveals potent antibacterial and antibiofilm activity
Researchers have discovered a novel natural antimicrobial peptide, ‘Hirunipin-2,’ from the salivary glands of the medicinal leech using cutting-edge imaging technology, demonstrating that it has high potential as a new therapeutic effective against superbacteria.
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Gut 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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AI-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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AI 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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News
Particles 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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Predictive 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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News
Breakthrough 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.